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CN106448276A - Airport surface moving target detection and speed sequence acquisition method - Google Patents

Airport surface moving target detection and speed sequence acquisition method Download PDF

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Publication number
CN106448276A
CN106448276A CN201610612248.2A CN201610612248A CN106448276A CN 106448276 A CN106448276 A CN 106448276A CN 201610612248 A CN201610612248 A CN 201610612248A CN 106448276 A CN106448276 A CN 106448276A
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moving target
target
scene moving
detection
induction signal
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汤新民
高尚峰
沈志远
李博
许峰
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Nanjing University of Aeronautics and Astronautics
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Nanjing University of Aeronautics and Astronautics
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    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G5/00Traffic control systems for aircraft, e.g. air-traffic control [ATC]
    • G08G5/06Traffic control systems for aircraft, e.g. air-traffic control [ATC] for control when on the ground

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  • Aviation & Aerospace Engineering (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Geophysics And Detection Of Objects (AREA)

Abstract

The invention discloses an airport surface moving target detection and a speed sequence acquisition method. Moving target geomagnetic induction signals are acquired in real time by a detection node carrying double geomagnetic sensors and preprocessed by a five-point tertiary smooth filtering method. The preprocessed double geomagnetic induction signals are subjected to data fusion according to state complementary fusion rules to detect approaching, leaving detection node and running direction of a surface moving target. Wave peak and wave trough feature points corresponding to the double geomagnetic induction signals are extracted when the surface moving target appears, and the average speed of the corresponding feature points is calculated, so that the speed sequence of the target is acquired. The target can be accurately detected and positioned, the speed sequence can be acquired, and inherent defects of current surface moving target detection positioning and speed acquisition are effectively improved.

Description

A kind of airdrome scene moving target detection and velocity series acquisition methods
Technical field
The present invention relates to advanced scene guiding and the detection of one of control airdrome scene moving target and velocity series obtain Take method, the scene moving target detection of especially a kind of geomagnetic sensing technology based on distributed non-cooperation and velocity series obtain Take method.
Background technology
The acquisition of the detection of airdrome scene moving target and velocity series is the guiding of scene moving target and the important base controlling Plinth.With the development of air-transport industry, scene environment becomes increasingly complex, and scene traffic flow is increasing, scene movement area The bottle neck effect of operation regulation ability is increasingly apparent.
Detection currently for scene moving target mainly adopts the technology such as scene surveillance radar, ADS-B, multipoint positioning Carry out detection positioning;The scene moving target speed mainly process according to scene surveillance radar data or ADS-B airborne equipment Down-transmitting data obtained.But above-mentioned technological means have intrinsic defect, concrete manifestation is as follows:(1) scene monitoring thunder Reach:Easily blocked by scene building, lower hybrid wave, rainfall etc. affect can not accurately detect target, by the radar data obtaining The velocity amplitude error carrying out processing acquisition is larger;(2)ADS-B:Need machine/vehicle-mounted answering machine, noncooperative target cannot obtain inspection Survey, the data acquisition that target velocity is passed down by airborne equipment, but data transmission rate is low, interruption non-continuous event easily occurs; (3) multipoint positioning:Need machine/vehicle-mounted answering machine, need to lay the synchronous communication circuit between website and website, airborne vehicle/car At least while covered by three earth stations.
With the development of distributed non-cooperation sensor technology, geomagnetic sensing technology is applied to the detection of scene moving target And velocity series obtain, can effectively improve the inherent shortcoming of above-mentioned means.Contribute in low cost, automaticity Under the conditions of high software and hardware obtain airdrome scene traffic situation, improve airport capacity, enable airport target high density, Under the conditions of weather low visibility and the high complexity of scene construction, ensure airborne vehicle and vehicle safety, orderly, efficient operation.Logical Cross laying geomagnetism detecting node in the roadnet of Flying Area in Airport to obtain earth induction signal, by data processing and fusion Method, to realize the acquisition of the accurate detection positioning to target and velocity series, is the guiding in real time to target for the airport control personnel With control, prevent to run to conflict and support and decision-making foundation with offer significant datas such as runway invasions.
At present, adopt single node single sensor solution intelligent geomagnetism detecting node, this design has to target detection and localization more There is good effect, but more difficult for detection object run direction and acquisition target velocity sequence, it is mainly manifested in:(1) Between node, deployment spacing farther out, as long as scene moving target has fraction of operation to offset between two nodes, will result in earth magnetism The signal characteristic of sensor acquisition is inconsistent, brings larger error to the acquisition of target velocity;(2) need by wireless between node Mode realizes time synchronized, once time irreversibility in detection process, causes the target transport information parameter extracted to lose efficacy; (3) between node frequently time synchronized and frequently transport information interaction lead to the larger consumption of geomagnetism detecting node energy.
Content of the invention
Goal of the invention:In order to overcome the deficiencies in the prior art, the present invention provides a kind of airdrome scene moving target Detection and velocity series acquisition methods, the present invention is capable of the acquisition of the accurate detection positioning to target and velocity series, with When effectively improve the inherent shortcoming that current scene moving target detection positioning and speed obtain.
Technical scheme:For achieving the above object, the technical solution used in the present invention is:
A kind of airdrome scene moving target detection and velocity series acquisition methods, for accurately examining to scene moving target Survey, and obtain velocity series information when node for the target.Using the detection node Real-time Collection carrying double geomagnetic sensors Moving target earth induction signal, carries out pretreatment to earth induction signal with 5 points 3 smooth filtering methods.Locate to pre- Double earth induction signals after reason carry out data fusion according to state Mutually fusion rule, with detect scene moving target approaching, Sail out of detection node and traffic direction.Double corresponding crests of earth induction signal and ripple is extracted when determining that scene moving target occurs Paddy characteristic point, calculates the average speed between character pair point, and then obtains the velocity series of target.
Specifically include following steps:
Step 1, is designed to geomagnetism detecting node using the double geomagnetic sensor scheme of single node, geomagnetism detecting node is taken Carry double geomagnetic sensors along scene moving target traffic direction arranged on the centrage of runway/taxiway, pass through The earth induction signal of double geomagnetic sensor collection activity targets and data point ID determining this earth induction signal.
Step 2, is carried out using 5 points 3 smooth filtering methods to the earth induction signal of the collection of geomagnetism detecting node Pretreatment.
Step 3, regular according to state Mutually fusion to the earth induction signal of pretreated pair of geomagnetic sensor collection Carry out data fusion.Described state Mutually fusion rule is for an arbitrary geomagnetic sensors detection in double geomagnetic sensors to target Signal, then the state of Mutually fusion echo signal is as detected.Earth magnetism according to pretreated pair of geomagnetic sensor collection Induced signal and state Mutually fusion rule detection scene moving target and traffic direction.
Step 4, according to the testing result of step 3, when determining that scene moving target occurs, according to based on double earth induction letters The method of number characteristic point obtains the velocity series of target.
In described step 3, the method for detection scene moving target and traffic direction, comprises the following steps:
Step 31:The state Mutually fusion rule setting detection scene moving target is as follows,
Step 32:Detect whether scene moving target approaching geomagnetism detecting node institute deployment region, specifically, to detection The earth induction signal that double geomagnetic sensors that node carries obtain is respectively provided with threshold value Ti(k), i=1,2, correspond to respectively Sensor one and sensor two.K is the sampling instant of sensor.The earth induction signal of arbitrary geomagnetic sensor collection exceedes and sets The threshold value put, that is, think scene moving target approaching geomagnetism detecting node.It is S1 or numbering when occurring numbering in step 31 Situation for S3 thinks scene moving target approaching geomagnetism detecting node deployment region.
Step 33:Detection judges the traffic direction of scene moving target, specifically, according to the double ground carrying in detection node The earth induction signal of Magnetic Sensor collection exceedes the time of the threshold value traffic direction to judge target respectively, such as goes out The time numbering the situation being S1 in existing step 31 judges scene moving target early than the time situation that numbering is S3 Traffic direction be sensor one to sensor two direction.The time situation that the numbering in step 31 is S3 is early than going out The time now numbering the situation being S1 judges the direction for sensor two to sensing one for the traffic direction of scene moving target.
Step 34:Whether detection scene moving target sails out of geomagnetism detecting node, specifically, according to set by step 31 The mutual fusion rule of state, judges order that Fusion Strain occurs successively to detect whether scene moving target sails out of geomagnetism detecting section Point, when numbering is followed successively by S0, S1, S2, S3, S0 or S0, S3, S2, S1, S0 think that scene moving target sails out of geomagnetism detecting Node.Sail out of geomagnetism detecting node by detecting scene moving target, then proceed to step 4, the speed to scene moving target Sequence is obtained.
Threshold value T in described step 32iThe method to set up of (k):
Step 321, the reference value according to sensor adopts right value update method to reference value according to state Mutually fusion rule Carry out self-adaptive processing, its self adaptation reference value formula is as follows:
In formula:BiK () is the reference value after sensor i adaptive updates.Bi(k-1) for the benchmark before sensor i renewal Value, aiK () is sampled signal values during sensor i kth time sampling after smooth.α is to update to forget weights.
Step 322, by more answering to earth magnetism reference value self adaptation, takes (1 ± α) times conduct of the earth magnetism reference value after renewal Detection scene moving target has stateless threshold value, and its adaptive threshold formula is as follows:
Ti(k)=(1 ± α) Bi(k) i=1,2.
In formula:TiK () is threshold value.
The method obtaining the velocity series of target in step 4 according to the method based on double earth induction signal characteristic points:
Step 41:Extract the character pair point of double earth induction signals:Detection scene moving target is same in step 3 When, intercept target earth induction signal group a of sensor one collection respectively1[n], n is data point number.Sensor two collection Target earth induction signal group a2[m], m is data point number, and extracts first data a of two groups of data respectively1[0]、a2 [0] and last data a1[n-1]、a2[m-1] is special as the corresponding initiation feature point of target earth induction signal and end Levy a little, then calculate the present sample data of each group of data and the difference value of previous moment sampled data and present sample data With the difference value of later moment in time sampled data, if two difference values simultaneously greater than zero, it is crest characteristic point, if two difference values Be less than zero is trough characteristic point simultaneously.
Step 42:Calculate sample offset amount ds between character pair pointi, specifically, according to the data of character pair point Point ID calculating difference is obtaining the employing side-play amount between character pair point.
Step 43:Obtain velocity series when geomagnetism detecting node for the scene moving target, specifically, calculate corresponding special Velocity amplitude between levying a little, computing formula is:
Wherein, D is the distance between dual sensor on geomagnetism detecting node, and double earth magnetism that geomagnetism detecting node carries pass The distance between sensor D is adjustable, and no more than in scene the shortest moving target length Lmin.fsNumber for dual sensor According to sample frequency, dsiFor earth induction signal one and earth induction signal two on sample sequence i-th character pair point inclined Shifting amount.Thus obtain velocity series when geomagnetism detecting node for the scene moving target be V=v (1), v (2) ..., v (i)…}.
Characteristic point in described step 41 includes:Target earth induction signal starting point, crest, trough and target earth magnetism Induced signal end point.
The invention has the advantages that:Geomagnetic sensing technology is applied to the detection of scene moving target and velocity series Acquisition, can effectively improve the inherent shortcoming that current scene moving target detection positioning and speed obtain.By in machine In the roadnet of movement area, laying geomagnetism detecting node to be obtaining earth induction signal, by data processing and fusion method Lai Realize the acquisition to the accurate detection positioning of target and velocity series, be airport control personnel to the guiding in real time of target and control System, preventing operation conflict and runway invasion etc. provides significant data support and decision-making foundation.
Brief description
Fig. 1 is a kind of airdrome scene moving target detection and velocity series acquisition methods flow chart;
Fig. 2 is geomagnetism detecting design of node structure chart
Fig. 3 is the deployment schematic diagram of geomagnetism detecting node
Fig. 4 is the original earth induction signal data of geomagnetic sensor collection
Fig. 5 is the earth induction signal waveform after 5 points 3 smothing filterings
Fig. 6 is scene moving target detection state Mutually fusion flow chart
Fig. 7 is double earth induction signal waveforms of a certain scene moving target
Fig. 8 is that scene moving target earth induction signal characteristic point extracts flow process.
Fig. 9 is a certain scene moving target uniform motion pretreated pair of earth induction signal wave when detection node Shape figure
Figure 10 is a certain scene moving target uniform motion pretreated pair of earth induction signal when detection node Oscillogram
Figure 11 is a certain scene moving target uniform motion pretreated pair of earth induction signal when detection node Oscillogram
Figure 12 is the sample offset amount of the character pair point and calculating extracted during a certain scene moving target uniform motion
Figure 13 is the sample offset amount of the character pair point and calculating extracted during a certain scene moving target uniformly accelerated motion
Figure 14 is the sample offset amount of the character pair point and calculating extracted during a certain scene moving target uniformly retarded motion
Figure 15 is that during a certain scene moving target uniform motion, acquisition speed sequence and actual speed alignment scheme
Figure 16 is that during a certain scene moving target uniformly accelerated motion, acquisition speed sequence and actual speed alignment scheme
Figure 17 is that during a certain scene moving target uniformly retarded motion, acquisition speed sequence and actual speed alignment scheme.
Specific embodiment
Below in conjunction with the accompanying drawings and specific embodiment, it is further elucidated with the present invention it should be understood that these examples are merely to illustrate this Invention rather than restriction the scope of the present invention, after having read the present invention, those skilled in the art are various to the present invention The modification of the equivalent form of value all falls within the application claims limited range.
A kind of airdrome scene moving target detection and velocity series acquisition methods, using the detection carrying double geomagnetic sensors Node Real-time Collection moving target earth induction signal, carries out pre- to earth induction signal with 5 points 3 smooth filtering methods Process.According to state Mutually fusion rule, data fusion is carried out to pretreated pair of earth induction signal, to detect scene work Moving-target approaching, sail out of detection node and traffic direction.Double earth induction signals pair are extracted when determining that scene moving target occurs The crest answered and trough characteristic point, calculate the average speed between character pair point, and then obtain the velocity series of target.
As shown in figure 1, comprising the following steps:
Step 1, in order to avoid due to time synchronization problem, earth induction signal characteristic inconsistent, the aspect such as energy expenditure The velocity series causing obtain error, and the present invention is set to geomagnetism detecting node using the double geomagnetic sensor scheme of single node Meter, is geomagnetism detecting design of node structure chart as shown in Figure 2.
The major function of geomagnetism detecting node is to be deployed in the diverse location of airdrome scene, the magnetic of perception detection region Field change, to detect the kinestate judging target with this.The present invention sets the double earth magnetism sensings carried on geomagnetism detecting node The distance between device D is adjustable, and no more than in scene the shortest moving target length Lmin.In view of in airdrome scene The width of road is larger, if by geomagnetism detecting node deployment in both sides of the road, the earth induction signal of collection is fainter, no It is easy to the detection positioning of target and the acquisition of velocity series.Double earth magnetism sensings that therefore geomagnetism detecting node is carried by the present invention Device along scene moving target traffic direction arranged on the centrage of runway/taxiway, be geomagnetism detecting as shown in Figure 3 The deployment schematic diagram of node.
By earth induction signal and the number determining this earth induction signal of double geomagnetic sensor collection activity targets Strong point ID.
Step 2, is carried out using 5 points 3 smooth filtering methods to the earth induction signal of the collection of geomagnetism detecting node Pretreatment.
Because in data acquisition, earth induction signal has been mixed into random noise signal, lead to produce in signal curve Burr and spike are it is therefore desirable to be filtered smoothing processing to signal.
The present invention carries out pretreatment using 5 points 3 smooth filtering methods;Detailed process is:Five-spot triple smoothing is The method three least square moving-polynomial smoother being carried out to discrete data using principle of least square method.It is former that hypothesis is collected Beginning earth induction signal time sequence is e (1), e (2) ..., e (k) ..., a (1), and a (2) ..., a (k) ... a (m) are through five Put the signal time sequence after three smothing filterings, then the computing formula of k-th sampled signal is:
Fig. 4 is the original earth induction signal data of geomagnetic sensor collection, and Fig. 5 is after 5 points 3 smothing filterings Earth induction signal waveform.
Step 3, regular according to state Mutually fusion to the earth induction signal of pretreated pair of geomagnetic sensor collection Carry out data fusion.Described state Mutually fusion rule is for an arbitrary geomagnetic sensors detection in double geomagnetic sensors to target Signal, then the state of Mutually fusion echo signal is as detected.Earth magnetism according to pretreated pair of geomagnetic sensor collection Induced signal and state Mutually fusion rule detection scene moving target and traffic direction.
Step 31:The state Mutually fusion rule setting detection scene moving target is as follows,
Fig. 6 detects state Mutually fusion flow chart for scene moving target.
Step 32:Detect whether scene moving target approaching geomagnetism detecting node institute deployment region, specifically, to detection The earth induction signal that double geomagnetic sensors that node carries obtain is respectively provided with threshold value Ti(k), i=1,2, correspond to respectively Sensor one and sensor two.K is the sampling instant of sensor.The earth induction signal of arbitrary geomagnetic sensor collection exceedes and sets The threshold value put, that is, think scene moving target approaching geomagnetism detecting node.It is S1 or numbering when occurring numbering in step 31 Situation for S3 thinks scene moving target approaching geomagnetism detecting node deployment region.
Reference value and threshold value are to realize the important parameter of scene moving target earth induction Signal separator.Due to geomagnetism detecting The change of node circumferentially magnetic environment and temperature can make the reference value of earth induction signal produce drift, if not to reference value and Threshold value carries out self-adaptive processing, and the precision that can affect the detection of scene moving target even causes the inefficacy of algorithm.The present invention adopts Right value update method carries out self-adaptive processing to reference value and threshold value.Self adaptation reference value formula is shown below:
In formula:BiK () is the reference value after sensor i adaptive updates;Bi(k-1) for the benchmark before sensor i renewal Value, aiK () is sampled signal values during sensor i kth time sampling after smooth;α is to update to forget weights, and its value affects The self adaptation speed degree of reference value, value is too small, and reference value is updated slow, leads to adaptive delay, value is excessive, extraneous magnetic The interference of field can produce impact to the renewal of reference value.
By more answering, take (1 ± α) times conduct detection scene of the earth magnetism reference value after renewal to earth magnetism reference value self adaptation Moving target has stateless threshold value, and its adaptive threshold formula is shown below:
Ti(k)=(1 ± α) Bi(k) i=1,2.
Step 33:Detection judges the traffic direction of scene moving target, specifically, according to the double ground carrying in detection node The earth induction signal of Magnetic Sensor collection exceedes the time of the threshold value traffic direction to judge target respectively, such as goes out The time numbering the situation being S1 in existing step 31 judges scene moving target early than the time situation that numbering is S3 Traffic direction be sensor one to sensor two direction.The time situation that the numbering in step 31 is S3 is early than going out The time now numbering the situation being S1 judges the direction for sensor two to sensing one for the traffic direction of scene moving target.
Step 34:Whether detection scene moving target sails out of geomagnetism detecting node, specifically, according to set by step 31 The mutual fusion rule of state, judges order that Fusion Strain occurs successively to detect whether scene moving target sails out of geomagnetism detecting section Point, when numbering is followed successively by S0, S1, S2, S3, S0 or S0, S3, S2, S1, S0 think that scene moving target sails out of geomagnetism detecting Node.Sail out of geomagnetism detecting node by detecting scene moving target, then proceed to step 4, the speed to scene moving target Sequence is obtained.
Step 4, according to the testing result of step 3, when determining that scene moving target occurs, according to based on double earth induction letters The method of number characteristic point obtains the velocity series of target.
Based on the acquisition methods to target velocity sequence for double earth induction signal characteristic points.Fig. 7 is a certain scene activity mesh The double earth induction signal waveforms of target.Due to the detection to same moving target in same detection zone, geomagnetism detecting node The earth induction signal waveform that the double geomagnetic sensors carrying obtain is similar.The ferrimagnet Germ distribution phase of same target Same, when the larger position of ferrimagnet distribution density sequentially passes through double geomagnetic sensor, nodal test region earth magnetism can be led to Larger disturbance, being mapped on wavy curve is then the characteristic points such as crest, the trough of waveform.Therefore, waveform 1 and waveform 2 are all deposited In some characteristic points of identical (detection starting point, crest, trough, extreme point, detection end point etc.).The character pair of two waveforms Point is it is believed that target a certain transverse section sequentially passes through double terrestrial magnetic disturbances acquired in geomagnetic sensor when passing through geomagnetism detecting node Information.Extract some characteristic points on waveform 1 and waveform 2, target can be asked for by the sample offset amount of character pair point some The instantaneous velocity sequence of transverse section, this velocity series can as target through geomagnetism detecting node instantaneous velocity sequence.Fig. 8, Fig. 9, Figure 10 be a certain scene moving target respectively with the uniform velocity, even acceleration, uniformly retarded motion is adopted when same detection node Double earth induction signal waveforms of collection.Its concrete steps includes:
Step 41:Extract the character pair point of double earth induction signals:Characteristic point includes:Target earth induction signal initiates Point, crest, trough and target earth induction signal node spot.Extracting method specifically, detects scene activity mesh in step 3 Target simultaneously, intercepts target earth induction signal group a of sensor one collection respectively1[n], n is data point number.Sensor two Target earth induction signal group a of collection2[m], m is data point number, and extracts first data a of two groups of data respectively1 [0]、a2[0] and last data a1[n-1]、a2[m-1] as target earth induction signal corresponding initiation feature point and Terminate characteristic point, then calculate the present sample data of each group of data and the difference value of previous moment sampled data and currently adopt Sample data and the difference value of later moment in time sampled data, if two difference values simultaneously greater than zero, are crest characteristic point, if two It is trough characteristic point that difference value is less than zero simultaneously.Figure 11 is that scene moving target earth induction signal characteristic point extracts flow process Figure.
Step 42:Calculate sample offset amount ds between character pair pointi, specifically, according to the data of character pair point Point ID calculating difference is obtaining the employing side-play amount between character pair point.
Figure 12 is the sample offset of character pair point that the double earth induction signal waveform in figures from Fig. 8 are extracted and calculating Amount, the character pair point extracting during this scene moving target uniform motion and the sample offset amount of calculating.
Figure 13 is the sample offset of character pair point that the double earth induction signal waveform in figures from Fig. 9 are extracted and calculating Amount, the character pair point extracting during this scene moving target uniformly accelerated motion and the sample offset amount of calculating.
Figure 14 is that the sampling of character pair point that the double earth induction signal waveform in figures from Figure 10 are extracted and calculating is inclined Shifting amount, the character pair point extracting during this scene moving target uniformly retarded motion and the sample offset amount of calculating.
Step 43:Obtain velocity series when geomagnetism detecting node for the scene moving target, specifically, calculate corresponding special Velocity amplitude between levying a little, computing formula is:
Wherein, D is the distance between dual sensor on geomagnetism detecting node, and double earth magnetism that geomagnetism detecting node carries pass The distance between sensor D is adjustable, and no more than in scene the shortest moving target length Lmin.fsNumber for dual sensor According to sample frequency, dsiFor earth induction signal one and earth induction signal two on sample sequence i-th character pair point inclined Shifting amount.Thus obtain velocity series when geomagnetism detecting node for the scene moving target be V=v (1), v (2) ..., v (i)…}.
Figure 15 is that during target uniform motion, acquisition speed sequence and actual speed alignment scheme.
Figure 16 is that during target uniformly accelerated motion, acquisition speed sequence and actual speed alignment scheme.
Figure 17 is that during target uniformly retarded motion, acquisition speed sequence and actual speed alignment scheme.
The above be only the preferred embodiment of the present invention it should be pointed out that:Ordinary skill people for the art For member, under the premise without departing from the principles of the invention, some improvements and modifications can also be made, these improvements and modifications also should It is considered as protection scope of the present invention.

Claims (6)

1. a kind of airdrome scene moving target detection and velocity series acquisition methods are it is characterised in that passed using carrying double earth magnetism The detection node Real-time Collection moving target earth induction signal of sensor, uses 5 points 3 smothing filterings to earth induction signal Method carries out pretreatment;According to state Mutually fusion rule, data fusion is carried out to pretreated pair of earth induction signal, with Detect scene moving target approaching, sail out of detection node and traffic direction;Double earth magnetism are extracted when determining that scene moving target occurs The corresponding crest of induced signal and trough characteristic point, calculate the average speed between character pair point, and then obtain the speed of target Degree series.
2. airdrome scene moving target according to claim 1 detection and velocity series acquisition methods it is characterised in that:Bag Include following steps:
Step 1, is designed to geomagnetism detecting node using the double geomagnetic sensor scheme of single node, geomagnetism detecting node carries Double geomagnetic sensors along scene moving target traffic direction arranged on the centrage of runway/taxiway, by double The earth induction signal of Magnetic Sensor collection activity target and data point ID determining this earth induction signal;
Step 2, carries out pre- place to the earth induction signal of the collection of geomagnetism detecting node using 5 points 3 smooth filtering methods Reason;
Step 3, is carried out according to state Mutually fusion rule to the earth induction signal of pretreated pair of geomagnetic sensor collection Data fusion;Described state Mutually fusion rule is believed to target for an arbitrary geomagnetic sensors detection in double geomagnetic sensors Number, then the state of Mutually fusion as detects echo signal;Ground magnetic strength according to pretreated pair of geomagnetic sensor collection Induction signal and state Mutually fusion rule detection scene moving target and traffic direction;
Step 4, according to the testing result of step 3, when determining that scene moving target occurs, according to special based on double earth induction signals The method levied a little obtains the velocity series of target.
3. airdrome scene moving target according to claim 1 detection and velocity series acquisition methods it is characterised in that:Institute The method stating detection scene moving target and traffic direction in step 3, comprises the following steps:
Step 31:The state Mutually fusion rule setting detection scene moving target is as follows,
Step 32:Detect whether scene moving target approaching geomagnetism detecting node institute deployment region, specifically, to detection node The earth induction signal that the double geomagnetic sensors carrying obtain is respectively provided with threshold value Ti(k), i=1,2, respectively to inductive sensing Device one and sensor two;K is the sampling instant of sensor;The earth induction signal of arbitrary geomagnetic sensor collection exceedes setting Threshold value, that is, think scene moving target approaching geomagnetism detecting node;It is S1 or to number be S3 when occurring numbering in step 31 Situation think scene moving target approaching geomagnetism detecting node deployment region;
Step 33:Detection judges the traffic direction of scene moving target, and specifically, the double earth magnetism according to carrying in detection node pass The earth induction signal of sensor collection exceedes the time of the threshold value traffic direction to judge target respectively, step such as The time numbering the situation being S1 in rapid 31 judges the fortune of scene moving target early than the time situation that numbering is S3 Line direction is the direction to sensor two for the sensor one;The time situation that the numbering in step 31 is S3 compiles early than appearance Number for S1 situation time judge scene moving target traffic direction be sensor two to sense one direction;
Step 34:Whether detection scene moving target sails out of geomagnetism detecting node, specifically, state according to set by step 31 Mutually fusion rule, judges order that Fusion Strain occurs successively to detect whether scene moving target sails out of geomagnetism detecting node, When numbering is followed successively by S0, S1, S2, S3, S0 or S0, S3, S2, S1, S0 think that scene moving target sails out of geomagnetism detecting section Point;Sail out of geomagnetism detecting node by detecting scene moving target, then proceed to step 4, the speed sequence to scene moving target Row are obtained.
4. airdrome scene moving target according to claim 3 detection and velocity series acquisition methods it is characterised in that:Institute State threshold value T in step 32iThe method to set up of (k):
Step 321, the reference value according to sensor is carried out to reference value using right value update method according to state Mutually fusion rule Self-adaptive processing, its self adaptation reference value formula is as follows:
B i ( k ) = B i ( k - 1 ) × ( 1 - α ) + a i ( k ) × α n o t arg e t B i ( k - 1 ) t arg e t , i = 1 , 2 ;
In formula:BiK () is the reference value after sensor i adaptive updates;Bi(k-1) for the reference value before sensor i renewal, ai K () is sampled signal values during sensor i kth time sampling after smooth;α is to update to forget weights;
Step 322, by more answering, takes (1 ± α) times conduct detection of the earth magnetism reference value after renewal to earth magnetism reference value self adaptation Scene moving target has stateless threshold value, and its adaptive threshold formula is as follows:
Ti(k)=(1 ± α) Bi(k) i=1,2;
In formula:TiK () is threshold value.
5. airdrome scene moving target according to claim 1 detection and velocity series acquisition methods it is characterised in that:Step The method obtaining the velocity series of target in rapid 4 according to the method based on double earth induction signal characteristic points:
Step 41:Extract the character pair point of double earth induction signals:While detecting scene moving target in step 3, point Not Jie Qu sensor one collection target earth induction signal group a1[n], n is data point number;The target of sensor two collection Earth induction signal group a2[m], m is data point number, and extracts first data a of two groups of data respectively1[0]、a2[0] and Last data a1[n-1]、a2[m-1] as target earth induction signal corresponding initiation feature point and terminate characteristic point, Then calculate the present sample data of each group of data and the difference value of previous moment sampled data and present sample data with after The difference value of one moment sampled data, if two difference values simultaneously greater than zero, is crest characteristic point, if two difference values are simultaneously It is trough characteristic point less than zero;
Step 42:Calculate sample offset amount ds between character pair pointi, specifically, according to the data point ID of character pair point Calculating difference is obtaining the employing side-play amount between character pair point;
Step 43:Obtain velocity series when geomagnetism detecting node for the scene moving target, specifically, calculate character pair point Between velocity amplitude, computing formula is:
Wherein, D is the distance between dual sensor on geomagnetism detecting node, double geomagnetic sensors that geomagnetism detecting node carries The distance between D be adjustable, and no more than in scene the shortest moving target length Lmin;fsData for dual sensor is adopted Sample frequency, dsiThe skew of i-th character pair point on sample sequence for earth induction signal one and earth induction signal two Amount;Thus obtain velocity series when geomagnetism detecting node for the scene moving target be V=v (1), v (2) ..., v (i)…}.
6. airdrome scene moving target according to claim 5 detection and velocity series acquisition methods it is characterised in that:Institute The characteristic point stated in step 41 includes:Target earth induction signal starting point, crest, trough and target earth induction signal node Spot.
CN201610612248.2A 2016-07-28 2016-07-28 Airport surface moving target detection and speed sequence acquisition method Pending CN106448276A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112286181A (en) * 2020-09-24 2021-01-29 南京苏美达智能技术有限公司 Self-walking equipment detection control method based on geomagnetism and self-walking equipment

Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH09119983A (en) * 1995-05-26 1997-05-06 He Holdings Inc Dba Hughes Electron Airport-surface surveillance and runway-intrusion alarm system
CN101694746A (en) * 2009-10-19 2010-04-14 浙江大学 Magnetic resistant vehicle quantity and speed detecting node based on Zigbee wireless protocol and use methods thereof
CN201698588U (en) * 2010-03-19 2011-01-05 上海真灼电子技术有限公司 Vehicle detection system based on double earth inductors
CN102129692A (en) * 2011-03-31 2011-07-20 中国民用航空总局第二研究所 Method and system for detecting motion target in double threshold scene
EP2303697B1 (en) * 2008-07-29 2012-12-19 Andreas Becker Automatic system for manoeuvring aircraft on the ground
KR101314159B1 (en) * 2012-11-08 2013-10-04 주식회사 유니텍 Method and system for plot extracting and tracking
CN104240542A (en) * 2014-09-03 2014-12-24 南京航空航天大学 Airport surface maneuvering target identifying method based on geomagnetic sensor network
CN104808015A (en) * 2015-05-18 2015-07-29 中国科学院电子学研究所 Vehicle movement direction detecting method based on magnetic anomaly signals

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH09119983A (en) * 1995-05-26 1997-05-06 He Holdings Inc Dba Hughes Electron Airport-surface surveillance and runway-intrusion alarm system
EP2303697B1 (en) * 2008-07-29 2012-12-19 Andreas Becker Automatic system for manoeuvring aircraft on the ground
CN101694746A (en) * 2009-10-19 2010-04-14 浙江大学 Magnetic resistant vehicle quantity and speed detecting node based on Zigbee wireless protocol and use methods thereof
CN201698588U (en) * 2010-03-19 2011-01-05 上海真灼电子技术有限公司 Vehicle detection system based on double earth inductors
CN102129692A (en) * 2011-03-31 2011-07-20 中国民用航空总局第二研究所 Method and system for detecting motion target in double threshold scene
KR101314159B1 (en) * 2012-11-08 2013-10-04 주식회사 유니텍 Method and system for plot extracting and tracking
CN104240542A (en) * 2014-09-03 2014-12-24 南京航空航天大学 Airport surface maneuvering target identifying method based on geomagnetic sensor network
CN104808015A (en) * 2015-05-18 2015-07-29 中国科学院电子学研究所 Vehicle movement direction detecting method based on magnetic anomaly signals

Non-Patent Citations (4)

* Cited by examiner, † Cited by third party
Title
何志强 等: "基于地磁传感器的车辆检测算法", 《科学技术与工程》 *
荣梅 等: "基于地磁传感器的车辆检测算法", 《交通信息与安全》 *
贺秀玲 等: "基于磁阻传感器的车辆检测算法", 《激光杂志》 *
高尚峰 等: "基于双磁阻传感器的场面移动目标检测算法", 《航空计算技术》 *

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112286181A (en) * 2020-09-24 2021-01-29 南京苏美达智能技术有限公司 Self-walking equipment detection control method based on geomagnetism and self-walking equipment
CN112286181B (en) * 2020-09-24 2023-03-24 南京苏美达智能技术有限公司 Self-walking equipment detection control method based on geomagnetism and self-walking equipment

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