research-article

A Non-stationary Clutter Suppression Method for End-fire Array Airborne Radar Based on Sparse Recovery with Range Ambiguity

Authors:

WenChong XieAuthors Info & Claims

ICFEICT 2021: International Conference on Frontiers of Electronics, Information and Computation Technologies

Article No.: 5, Pages 1 - 6

https://doi.org/10.1145/3474198.3478197

Published: 30 December 2021 Publication History

Abstract

Aiming at the problem of range nonstationarity in clutter spectrum of end-fire array airborne radar, a method of clutter suppression based on sparse recovery with range ambiguity is proposed. Firstly, the underdetermined equation of clutter echo data is established by sparse recovery theory, and the space-time spectrum distribution of clutter is obtained by FOCUSS algorithm, and the clutter covariance matrix of each range gate is reconstructed. Then, the farthest detectable range unit is used as the reference unit to compensate the clutter data and constrain the target. Finally, the space-time adaptive clutter suppression processing is carried out based on the compensated data. Compared with the traditional method, the clutter covariance matrix estimation accuracy of this method is higher, and the clutter suppression performance is better. simulation results verify the effectiveness of the proposed method.

References

[1]

Wang Yongliang and Peng Yingning, 2000 “Space-time adaptive processing, ”. Tsinghua University Press, Beijing, China.

[2]

Zhang Wei, An Ruixue, He Ningyu, (2020). Reduced Dimension STAP Based on Sparse Recovery in Heterogeneous Clutter Environments. IEEE Trans on Aerospace and Electronic Systems, 56(1): 785-795.

[3]

Ahmed A A, Ioannis P, Benoit C(2019). Covariance-Free Non-Homogeneity STAP Detector in Compound Gaussian Clutter Based on Robust Statistics. IET Radar, Sonar & Navigation, 13(12): 2107-2119.

[4]

Xie Wenchong, Duan Keqing, and Wang Yongliang(2017). Space-time adaptive processing technique for airborne radar: An overview of its development and prospects. Journal of Radars, 6(6): 575–586.

[5]

Wang Y L, Peng Y N, and Bao Z(1997). Space-time adaptive processing for airborne radar with various array orientation. IEE Proceedings Radar, Sonar Navigation, 144(6): 330-340.

[6]

Wang X Y, Yang Z C, Huang J J(2019). Reduced-dimension space-time adaptive processing for airborne radar with co-prime array. The Journal of Engineering, 2019(19): 5971-5974.

[7]

Borsari G K(1998). Mitigating effects on STAP processing caused by an inclined array. Proceedings of IEEE Radar Conference, Dallas, TX:135-140.

[8]

Wang Yue, Yuan Junquan, Huang Zhongyan, Wen Jianxiong(2019). Non-stationary clutter suppression method based on improved DW method for space-air based bistatic radar. Radar Science and Technology, 17(05):526-530+537.

[9]

Himed B, Zhang Y H, and Hajjari A(2002). STAP with angle-Doppler compensation for bistatic airborne radar. Proceedings of IEEE Radar Conference, Long Beach, CA: 311-317.

[10]

Melvin W L and Davis M.E(2007). Adaptive cancellation method for geometry-induced non-stationary bistatic clutter environments, IEEE Trans. AES, 43(2): 651-672.

[11]

Lapierre F D and Verly J G(2003). Registration-based solutionsto the range-dependence problem in radar STAP. Proceedings of the 11th Adaptive Sensor Array ProcessingWorkshop, Lexington, MA: 1-6.

[12]

Zatman M(2000). Circular array STAP, IEEE Trans. AES, 36, (2):510-517.

[13]

Li Yongwei, Xie Wenchong(2020). A non-stationary clutter spectrum compensation method for end-fire array airborne radar with ambiguity. Acta Electronica Sinica, 48(03):486-493.

[14]

Gorodnitsky I F, Rao B D(1997). Sparse signal reconstruction from limited data using FOCUSS: a re-weighted minimum norm algorithm . IEEE Trans. on SP. 45 (3): 600-616.

Digital Library

[15]

Kan, Xie, Zhaoshui, (2015). Convergence analysis of the FOCUSS algorithm. IEEE Transactions on Neural Networks and Learning Systems, 26(3): 601-613.

Cited By

Wang HDuan KShen WXie W(2024)Reduced-Dimensional STAP Method for Nonstationary Clutter Suppression in Endfire Array Airborne RadarIEEE Sensors Journal10.1109/JSEN.2024.342917324:17(27750-27762)Online publication date: 1-Sep-2024
https://doi.org/10.1109/JSEN.2024.3429173
Wang HChen RXie WDuan K(2023)A Reduced-Dimensional STAP Scheme for End-Fire Array Airborne Radar2023 IEEE International Radar Conference (RADAR)10.1109/RADAR54928.2023.10371133(1-6)Online publication date: 6-Nov-2023
https://doi.org/10.1109/RADAR54928.2023.10371133
He JLiao ZQiu ZDuan K(2023)Modeling and Analysis for Manned-Unmanned Bistatic Airborne Radar2023 6th International Conference on Information Communication and Signal Processing (ICICSP)10.1109/ICICSP59554.2023.10390839(585-591)Online publication date: 23-Sep-2023
https://doi.org/10.1109/ICICSP59554.2023.10390839

Index Terms

A Non-stationary Clutter Suppression Method for End-fire Array Airborne Radar Based on Sparse Recovery with Range Ambiguity

Index terms have been assigned to the content through auto-classification.

Recommendations

Range-ambiguous clutter characteristics in airborne FDA radar
Abstract
Frequency diverse array (FDA) has received much attention in recent years. Different from classic phased-array (PA) that uses the same carrier frequency for all array elements, FDA adopts a small frequency increment across its array ...
A clutter-suppression method for airborne bistatic polarization radar based on polarization-space-time adaptive processing
Abstract
Clutter suppression poses serious problems for airborne, bistatic radar systems. Suppression may be increased using space-time adaptive processing (STAP), but suppression of slow targets is poor and target detectability is compromised. Furthermore,...
Adaptively iterative weighting covariance matrix estimation for airborne radar clutter suppression

In partially homogeneous clutter environments, space-time adaptive processing (STAP) often suffers from performance loss due to the variation of clutter power. In this paper, the covariance matrix (CM) of the cell under test (CUT) required by STAP is ...

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

cover image ACM Other conferences

ICFEICT 2021: International Conference on Frontiers of Electronics, Information and Computation Technologies

May 2021

880 pages

ISBN:9781450390149

DOI:10.1145/3474198

Copyright © 2021 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 30 December 2021

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Research-article
Research
Refereed limited

Conference

ICFEICT 2021

ICFEICT 2021: International Conference on Frontiers of Electronics, Information and Computation Technologies

May 21 - 23, 2021

Changsha, China

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

2
Total Citations
View Citations
28
Total Downloads

Downloads (Last 12 months)11
Downloads (Last 6 weeks)0

Reflects downloads up to 20 Nov 2024

Other Metrics

View Author Metrics

Citations

Cited By

Wang HDuan KShen WXie W(2024)Reduced-Dimensional STAP Method for Nonstationary Clutter Suppression in Endfire Array Airborne RadarIEEE Sensors Journal10.1109/JSEN.2024.342917324:17(27750-27762)Online publication date: 1-Sep-2024
https://doi.org/10.1109/JSEN.2024.3429173
Wang HChen RXie WDuan K(2023)A Reduced-Dimensional STAP Scheme for End-Fire Array Airborne Radar2023 IEEE International Radar Conference (RADAR)10.1109/RADAR54928.2023.10371133(1-6)Online publication date: 6-Nov-2023
https://doi.org/10.1109/RADAR54928.2023.10371133
He JLiao ZQiu ZDuan K(2023)Modeling and Analysis for Manned-Unmanned Bistatic Airborne Radar2023 6th International Conference on Information Communication and Signal Processing (ICICSP)10.1109/ICICSP59554.2023.10390839(585-591)Online publication date: 23-Sep-2023
https://doi.org/10.1109/ICICSP59554.2023.10390839

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

eReader

View online with eReader.

HTML Format

View this article in HTML Format.

Media

Figures

Other

Tables

View Table of Contents