一種穩(wěn)健的非均勻雜波協(xié)方差矩陣估計(jì)方法

許華健; 楊志偉; 廖桂生; 田敏

doi:10.11999/JEIT160747

一種穩(wěn)健的非均勻雜波協(xié)方差矩陣估計(jì)方法

doi: 10.11999/JEIT160747 cstr: 32379.14.JEIT160747

基金項(xiàng)目:

國家自然科學(xué)基金(61671352, 61231017)，國家青年科學(xué)基金(61501471), CAST創(chuàng)新基金

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- 被引次數(shù): 0
出版歷程
- 收稿日期: 2016-07-14
- 修回日期: 2016-11-07
- 刊出日期: 2017-05-19

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

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

摘要

摘要: 在非均勻環(huán)境下，針對傳統(tǒng)樣本挑選、樣本加權(quán)等方法由于數(shù)據(jù)利用率低導(dǎo)致獨(dú)立同分布訓(xùn)練樣本不足的問題，該文提出一種在空時(shí)2維譜平面聯(lián)合距離維逐空-時(shí)頻點(diǎn)譜估計(jì)與濾波的協(xié)方差矩陣估計(jì)方法。該方法根據(jù)雜波和目標(biāo)在距離-空時(shí)2維譜平面的分布特性，逐點(diǎn)頻估計(jì)待檢測單元雜波譜，并采用中值濾波方式消除目標(biāo)污染對地物雜波譜估計(jì)的干擾；最后重構(gòu)無空時(shí)孔徑損失的雜波協(xié)方差矩陣。仿真結(jié)果表明，相比于傳統(tǒng)非均勻統(tǒng)計(jì)STAP方法，所提的距離-空時(shí)2維譜濾波方法能夠在樣本數(shù)不足時(shí)有效緩解目標(biāo)信號污染、離散地形雜波或孤立干擾引起的STAP性能下降問題。
- 機(jī)載雷達(dá) /
- 空時(shí)自適應(yīng)處理 /
- 空時(shí)2維譜 /
- 譜估計(jì) /
- 協(xié)方差矩陣
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

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參考文獻(xiàn)(26)

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, 陶海紅, 趙繼超. 基于S變換的機(jī)載雷達(dá)穩(wěn)健空時(shí)自適應(yīng)算法[J]. 系統(tǒng)工程與電子技術(shù), 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, 劉宏偉, 戴奉周, 等. 基于環(huán)境動(dòng)態(tài)感知的空時(shí)自適應(yīng)處理[J]. 電子與信息學(xué)報(bào), 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.

吳億鋒, 王彤, 吳建新, 等. 基于道路信息的知識(shí)輔助空時(shí)自適應(yīng)處理[J]. 電子與信息學(xué)報(bào), 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, 吳建新. 直接數(shù)據(jù)域迭代空時(shí)自適應(yīng)處理方法[J]. 系統(tǒng)工程與電子技術(shù), 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.

楊志偉, 賀順, 廖桂生, 等. 任意線陣的直接數(shù)據(jù)域空時(shí)自適應(yīng)處理方法[J]. 電子學(xué)報(bào), 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, 楊志偉, 等. 利用廣義內(nèi)積值迭代加權(quán)的空時(shí)協(xié)方差矩陣估計(jì)方法[J]. 電子與信息學(xué)報(bào), 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.

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