Robust Approach for Clutter Covariance Matrix Estimation with STAP in Heterogeneous Environment

XU Huajian; YANG Zhiwei; LIAO Guisheng; TIAN Min

doi:10.11999/JEIT160747

Volume 39 Issue 5

May 2017

Turn off MathJax

Article Contents

Article Navigation > Journal of Electronics & Information Technology > 2017 > 39(5): 1036-1043

XU Huajian, YANG Zhiwei, LIAO Guisheng, TIAN Min. Robust Approach for Clutter Covariance Matrix Estimation with STAP in Heterogeneous Environment[J]. Journal of Electronics & Information Technology, 2017, 39(5): 1036-1043. doi: 10.11999/JEIT160747

Citation:

XU Huajian, YANG Zhiwei, LIAO Guisheng, TIAN Min. Robust Approach for Clutter Covariance Matrix Estimation with STAP in Heterogeneous Environment[J]. Journal of Electronics & Information Technology, 2017, 39(5): 1036-1043. doi: 10.11999/JEIT160747

Citation:

PDF( 2498 KB)

Robust Approach for Clutter Covariance Matrix Estimation with STAP in Heterogeneous Environment

doi: 10.11999/JEIT160747

Funds:

The National Natural Science Foundation of China (61671352, 61231017), The National Science Foundation for Young Scientists of China (61501471), The Innovational Foundation of China Academy of Space Technology

Received Date: 2016-07-14
Rev Recd Date: 2016-11-07
Publish Date: 2017-05-19

Abstract

Abstract

The conventional statistical Space-Time Adaptive Processing (STAP) methods, such as sample selection and sample weighting methods, and so forth, have a very low utilization ratio of sample data, which results in that the problem of training samples lack is more prominent in heterogeneous clutter environment. Thus, in this paper, the space-time spectrum of the clutter Cell Under Test (CUT) is estimated according to the distribution characteristics of the clutter and the moving target in the range and space-time two dimensional spectrum plane. In addition, the median filtering is exploited to avoid the disturbance due to the moving target for the estimation of clutter spectrum. Finally, the reconstruction of clutter covariance matrix without sacrificing space-time aperture and clutter suppression is achieved．The results of the simulated experiments demonstrate that the proposed method can effectively alleviate the STAP performance degradation due to the interference target, discrete terrain clutter or isolation interference, compared with the traditional statistical STAP methods.
- Airborne radar,
- Space-Time Adaptive Processing (STAP),
- Space-time 2-D spectrum,
- Spectrum estimation,
- Covariance matrix

FullText(HTML)

References(26)

References

BRENNAN L E, REED I S, and MALLETT J D. Theory of adaptive radar[J]. IEEE Transactions on Aerospace and Electronic Systems, 1973, 9(3): 237-251. doi: 10.1109/TAES. 1973.309792.

BESSON O, BIDON S, and TOURNERET J Y. Covariance matrix estimation with heterogeneous samples[J]. IEEE Transactions on Signal Processing, 2008, 56(3): 909-920. doi: 10.1109/TSP.2007.908995

MELVIN W L. A STAP overview[J]. IEEE Aerospace Electronic Systems Magazine, 2004, 19(1): 19-35. doi: 10.1109/MAES.2004.1263229.

高志奇, 陶海红, 赵继超. 基于S变换的机载雷达稳健空时自适应算法[J]. 系统工程与电子技术, 2016, 38(6): 1268-1275. doi: 10.3969/j.issn.1001-506X.2016.06.08.

GAO Zhiqi, TAO Haihong, and ZHAO Jichao. Robust space- time adaptive processing based on S transform for airborne radar[J]. Systems Engineering and Electronics, 2016, 38(6): 1268-1275. doi: 10.3969/j.issn.1001-506X.2016.06.08.

BESSON O and BIDON S. Adaptive processing with signal contaminated training samples[J]. IEEE Transactions on Signal Processing, 2013, 61(17): 4318-4329. doi: 10.1109/ TSP.2013.2269048.

BIDON S, BESSON O, and TOURNERET J Y. A bayesian approach to adaptive detection in nonhomogeneous environments[J]. IEEE Transactions on Signal Processing, 2008, 56(1): 205-217. doi: 10.1109/TSP.2007.901664.

TONG Yalong, WANG Tong, and WU Jianxin. Improving EFA-STAP performance using persymmetric covariance matrix estimation[J]. IEEE Transactions on Aerospace and Electronic Systems, 2015, 51(2): 925-936. doi: 10.1109/TAES. 2015.130264.

FA Rui and DE LAMARE R C. Reduced-rank STAP algorithms using joint iterative optimization of filers[J]. IEEE Transactions on Aerospace and Electronic Systems, 2011, 47(3): 1668-1684. doi: 10.1109/TAES.2011.5937257.

HAN Sudan, FAN Chongyi, and HUANG Xiaotao. Knowledge-aided shrinkage interference covariance matrix estimation in STAP[C]. 2015 International Conference on Estimation, Detection and Information Fusion (ICEDIF), Harbin, China, 2015: 259-263. doi: 10.1109/ICEDIF.2015. 7280202.

方明, 刘宏伟, 戴奉周, 等. 基于环境动态感知的空时自适应处理[J]. 电子与信息学报, 2015, 37(8): 1786-1792. doi: 10.11999/JEIT141505.

FANG Ming, LIU Hongwei, DAI Fengzhou, et al. Space-time adaptive processing via dynamic environment sensing[J]. Journal of Electronics Information Technology, 2015, 37(8): 1786-1792. doi: 10.11999/JEIT141505.

吴亿锋, 王彤, 吴建新, 等. 基于道路信息的知识辅助空时自适应处理[J]. 电子与信息学报, 2015, 37(3): 613-618. doi: 10.11999/JEIT140626.

WU Yifeng, WANG Tong, WU Jianxin, et al. A knowledge aided space time adaptive processing based on road network data[J]. Journal of Electronics Information Technology, 2015, 37(3): 613-618. doi: 10.11999/JEIT140626.

文才, 王彤, 吴建新. 直接数据域迭代空时自适应处理方法[J]. 系统工程与电子技术, 2014, 36(5): 831-837. doi: 10.3969/ j.issn.1001-506X.2014.05.04.

WEN Cai, WANG Tong, and WU Jianxin. Direct data domain approach with iterative space-time adaptive processing[J]. Systems Engineering and Electronics, 2014, 36(5): 831-837. doi: 10.3969/j.issn.1001-506X.2014.05.04.

杨志伟, 贺顺, 廖桂生, 等. 任意线阵的直接数据域空时自适应处理方法[J]. 电子学报, 2011, 39(12): 2900-2904.

YANG Zhiwei, HE Shun, LIAO Guisheng, et al. Direct data domain approach with space-time adaptive processing for arbitrary linear array[J]. Acta Electronica Sinica, 2011, 39(12): 2900-2904.

WU Yifeng, WANG Tong, WU Jianxin, et al.. Training sample selection for space-time adaptive processing in heterogeneous environments[J]. IEEE Geoscience and Remote Sensing letters, 2015, 12(4): 691-695. doi: 10.1109/ LGRS.2014.2357804.

YANG Xiaopeng, LIU Yongxu, HU Xiaona, et al. Robust generalized inner products algorithm using prolate spheroidal wave functions[C]. Radar Conference (RADAR) on Aerospace, Components and Signal Processing, Atlanta, GA, 2012: 581-584. doi: 10.1109/RADAR.2012.6212207.

YANG Xiaopeng, LIU Yongxu, and LONG Teng. Robust non-homogeneity detection algorithm based on prolate spheroidal wave functions for space-time adaptive processing [J]. IET Radar, Sonar and Navigation, 2013, 7(1): 47-54. doi: 10.1049/iet-rsn.2011.0404.

郭佳佳, 廖桂生, 杨志伟, 等. 利用广义内积值迭代加权的空时协方差矩阵估计方法[J]. 电子与信息学报, 2014, 36(2): 422-427. doi: 10.3724/SP.J.1146.2013.00426.

GUO Jiajia, LIAO Guisheng, YANG Zhiwei, et al. Iterative weighted covariance matrix estimation method for STAP based on generalized inner products[J]. Journal of Electronics Information Technology, 2014, 36(2): 422-427. doi: 10.3724/SP.J.1146.2013.00426.

REED I S, MALLETT J D, and BRENNAN L E. Rapid convergence rate in adaptive arrays[J]. IEEE Transactions on Aerospace and Electronic Systems, 1974, 10(6): 853-863. doi: 10.1109/TAES.1974.307893.

WARD J. Space-time adaptive processing for airborne radar [R]. Lexington, MA: Lincoln Lab., 1994: 20-51.

HONDT O D, GUILLASO S, and HELLWICH O. Iterative bilateral filtering of polarimetric SAR data[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2013, 6(3): 1628-1639. doi: 10.1109/JSTARS.2013. 2256881.

Relative Articles

Supplements(0)

Cited By

Proportional views