基于功率中值和歸一化采樣協(xié)方差矩陣的自適應(yīng)匹配濾波檢測器
doi: 10.11999/JEIT140900 cstr: 32379.14.JEIT140900
基金項目:
國家自然科學(xué)基金(61271295)資助課題
Adaptive Matched Filter Detector Based on Power Median and Normalized Sample Covariance Matrix
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摘要: 在非均勻海雜波環(huán)境中，參考單元中的異常單元限制了采樣協(xié)方差矩陣(SCM)的估計性能，從而影響了傳統(tǒng)自適應(yīng)匹配濾波(AMF)檢測器的檢測性能。而考慮刪除異常單元的方法在參考單元數(shù)目有限時可能導(dǎo)致矩陣的奇異性。鑒于此，在保持參考單元數(shù)目不變條件下，該文設(shè)計一種基于功率中值與歸一化采樣協(xié)方差矩陣(MNSCM)的估計方法，并將其與匹配濾波器(MF)相結(jié)合，構(gòu)造一種新型的自適應(yīng)匹配濾波檢測器。與傳統(tǒng)的自適應(yīng)匹配濾波相比，該文設(shè)計的檢測器在實測和仿真海雜波數(shù)據(jù)條件下均具有明顯的性能優(yōu)勢。
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關(guān)鍵詞:
- 目標(biāo)檢測 /
- 海雜波 /
- 自適應(yīng)匹配濾波器 /
- 采樣協(xié)方差矩陣 /
- 功率中值和歸一化采樣協(xié)方差矩陣
Abstract: In nonhomogeneous sea clutter, abnormal cells included reference cells constrain the performance of the Sample Covariance Matrix (SCM), and then influence the detection performance of the traditional Adaptive Matched Filter (AMF) detector, while censoring abnormal cells may cause singularity of the covariance matrix in the case of limited reference cells. Without changing number of the reference cells, this paper devises the median and normalized covariance matrix estimator and uses in the detection scheme of the AMF. Compared with the traditional AMF, the newly devised AMF obtains better performance in both measured and simulated clutter. -
Javier M C, Javier M G, Alvaro?B D C, et al.. Small target detection in high-resolution heterogeneous sea-clutter: an empirical analysis[J]. IEEE Transactions on Aerospace and Electronic Systems, 2011, 47(3): 1880-1898. Chen Xiao-long, Cai Yong, and Cai Fu-qing. Application of the sparse decomposition to micro-motion target detection embedded in sea clutter[C]. Proceedings of the 2013 International Conference on Radar, Adelaide, Canada, 2013: 163-166. Chen Si-jia, Kong Ling-jiang, and Yang Jian-yu. Adaptive detection in compound-Gaussian clutter with partially correlated texture[C]. Proceedings of the 2013 IEEE Radar Conference, Ottawa, Canada, 2013: 1-5. Chen Xiao-long, Guan Jian, He You, et al.. Detection and extraction of target with micro-motion in spiky sea clutter via short-time fractional fourier transform[J]. IEEE Transactions on Geoscience and Remote Sensing, 2014, 52(2), 1002-1018. Maria G, Fulvio G, and Muralidhar R. Statistical analysis of measured polarimetric clutter data at different resolutions [J]. IEE Proceedings-Radar, Sonar and Navigation, 2006, 153(6): 473-481. Maria G, Fulvio G, Muralidhar R, et al.. Impact of the sea clutter nonstationarity on disturbance covariance matrix estimation and CFAR detector performance[J]. IEEE Transactions on Aerospace and Electronic Systems, 2010, 46(6): 1502-1513. Frank R C, Daniel F R, Edward K J, et al.. A CFAR adaptive matched filter detector[J]. IEEE Transactions on Aerospace and Electronic Systems, 1992, 28(1): 208-216. Chan H C, Radar sea-clutter at low grazing angles[J]. IEE Proceedings F Radar and Signal Processing, 1990, 137(2): 102-112. Ward, K D, Baker, C J, and Watts S. Maritime surveillance radar. part I: radar scattering from the ocean surface[J]. IEE Proceedings, F Radar and Signal Processing, 1990, 137(2): 51-62. Fulvio G and James H M. Performance analysis of two covariance matrix estimators in compound-Gaussian clutter [J]. IEE Proceedings-Radar, Sonar and Navigation, 1999, 146(3): 133-140. 張玉石, 許心瑜, 尹雅磊, 等. L波段小擦地角海雜波幅度統(tǒng)計特性研究[J]. 電子與信息學(xué)報, 2014, 36(5): 1044-1048. Zhang Yu-shi, Xu Xin-yu, Yin Ya-lei, et al.. Research on amplitude statistics of L-band low grazing angle sea clutter [J]. Journal of Electronics Information Technology, 2014, 36(5): 1044-1048. Wei Na. Sea clutter covariance estimation with data-adaptive selection[C]. Proceedings of the IET International Radar Conference, Xian, China, 2013: 1-5. Aghaabdellahian N and Hashemi M M. Improving performance of adaptive detectors in nonhomogeneous environment[C]. Proceedings of the 21st Iranian Conference on Electrical Engineering, Mashhad, Iran, 2013: 1-5. Moya J C, Menoyo J G, Lopez A A, et al.. Statistical analysis of a high-resolution sea-clutter database[J]. IEEE Transactions on Geoscience and Remote Sensing, 2010, 48(4): 2024-2037. Fulvio G and Maria G. Texture modeling, estimation, and validation using measured sea clutter data[J]. IEE Proceedings-Radar, Sonar and Navigation, 2002, 149(3): 115-124. Maria G, Federica B, and Fulvio G. X-band sea-clutter non-stationarity: influence of long waves[J]. IEEE Journal of Oceanic Engineering, 2004, 28(2): 269-283. Haykin S. Adaptive Radar Signal Processing[M]. Hoboken, NJ: John Wiley and Sons, Inc., 2007: 159-192. -
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