Nothing Special   »   [go: up one dir, main page]

Evennou et al., 2005 - Google Patents

Improving positioning capabilities for indoor environments with WiFi

Evennou et al., 2005

View PDF
Document ID
2463364754052983503
Author
Evennou F
Marx F
Publication year
Publication venue
IST Summit

External Links

Snippet

A framework for positioning and tracking problems in indoor environments using particle filters has been developed and applied to a WLAN location determination technique. The use of Kalman filter or particle filtering represents an interesting way to handle the variations …
Continue reading at new.eurasip.org (PDF) (other versions)

Classifications

    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S5/00—Position-fixing by co-ordinating two or more direction or position line determinations; Position-fixing by co-ordinating two or more distance determinations
    • G01S5/02—Position-fixing by co-ordinating two or more direction or position line determinations; Position-fixing by co-ordinating two or more distance determinations using radio waves
    • G01S5/0205—Details
    • G01S5/0215—Details interference or multipath issues related to signal reception
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S5/00—Position-fixing by co-ordinating two or more direction or position line determinations; Position-fixing by co-ordinating two or more distance determinations
    • G01S5/02—Position-fixing by co-ordinating two or more direction or position line determinations; Position-fixing by co-ordinating two or more distance determinations using radio waves
    • G01S5/0252—Position-fixing by co-ordinating two or more direction or position line determinations; Position-fixing by co-ordinating two or more distance determinations using radio waves by comparing measured values with pre-stored measured or simulated values
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATIONS NETWORKS
    • H04W16/00—Network planning, e.g. coverage or traffic planning tools; Network deployment, e.g. resource partitioning or cells structures
    • H04W16/18—Network planning tools
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
    • G01C21/00—Navigation; Navigational instruments not provided for in preceding groups
    • G01C21/20—Instruments for performing navigational calculations
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S19/00—Satellite radio beacon positioning systems; Determining position, velocity or attitude using signals transmitted by such systems
    • G01S19/38—Determining a navigation solution using signals transmitted by a satellite radio beacon positioning system
    • G01S19/39—Determining a navigation solution using signals transmitted by a satellite radio beacon positioning system the satellite radio beacon positioning system transmitting time-stamped messages, e.g. GPS [Global Positioning System], GLONASS [Global Orbiting Navigation Satellite System] or GALILEO
    • G01S19/42—Determining position
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATIONS NETWORKS
    • H04W64/00—Locating users or terminals or network equipment for network management purposes, e.g. mobility management

Similar Documents

Publication Publication Date Title
Rusli et al. An improved indoor positioning algorithm based on rssi-trilateration technique for internet of things (iot)
Klepal et al. Influence of predicted and measured fingerprint on the accuracy of RSSI-based indoor location systems
Evennou et al. Map-aided indoor mobile positioning system using particle filter
Smith et al. Tracking moving devices with the cricket location system
Seshadri et al. A bayesian sampling approach to in-door localization of wireless devices using received signal strength indication
Evennou et al. Advanced integration of WiFi and inertial navigation systems for indoor mobile positioning
Lassabe et al. A Friis-based calibrated model for WiFi terminals positioning
Cui et al. Robust mobile location estimation in NLOS environment using GMM, IMM, and EKF
Evennou et al. Improving positioning capabilities for indoor environments with WiFi
US10506546B2 (en) Method of locating an access point to a communication network
Dashti et al. Rssi localization with gaussian processes and tracking
Osa et al. Localization in wireless networks: the potential of triangulation techniques
Klepal et al. A bayesian approach for rf-based indoor localisation
Narzullaev et al. Accurate signal strength prediction based positioning for indoor WLAN systems
Kasebzadeh et al. Indoor localization via WLAN path-loss models and Dempster-Shafer combining
Alshami et al. Automatic WLAN fingerprint radio map generation for accurate indoor positioning based on signal path loss model
Zdruba et al. Monte Carlo sampling based in-home location tracking with minimal RF infrastructure requirements
Wang et al. Enhancing the map usage for indoor location-aware systems
Lu et al. A Wi-Fi/GPS integrated system for urban vehicle positioning
Alhammadi et al. Effects of different types of RSS data on the system accuracy of indoor localization system
Müller et al. A field test of parametric WLAN-fingerprint-positioning methods
Fariz et al. An improved indoor location technique using Kalman filter
Alshami et al. A light WLAN radio map for floor detection in multi-floor environment localization
Mazuelas et al. Ranking of TOA measurements based on the estimate of the NLOS propagation contribution in a wireless location system
Sundar et al. Improved indoor location tracking system for mobile nodes