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基于功率中值和归一化采样协方差矩阵的自适应匹配滤波检测器

刘明 水鹏朗

刘明, 水鹏朗. 基于功率中值和归一化采样协方差矩阵的自适应匹配滤波检测器[J]. 电子与信息学报, 2015, 37(6): 1395-1401. doi: 10.11999/JEIT140900
引用本文: 刘明, 水鹏朗. 基于功率中值和归一化采样协方差矩阵的自适应匹配滤波检测器[J]. 电子与信息学报, 2015, 37(6): 1395-1401. doi: 10.11999/JEIT140900
Liu Ming, Shui Peng-lang. Adaptive Matched Filter Detector Based on Power Median and Normalized Sample Covariance Matrix[J]. Journal of Electronics & Information Technology, 2015, 37(6): 1395-1401. doi: 10.11999/JEIT140900
Citation: Liu Ming, Shui Peng-lang. Adaptive Matched Filter Detector Based on Power Median and Normalized Sample Covariance Matrix[J]. Journal of Electronics & Information Technology, 2015, 37(6): 1395-1401. doi: 10.11999/JEIT140900

基于功率中值和归一化采样协方差矩阵的自适应匹配滤波检测器

doi: 10.11999/JEIT140900
基金项目: 

国家自然科学基金(61271295)资助课题

Adaptive Matched Filter Detector Based on Power Median and Normalized Sample Covariance Matrix

  • 摘要: 在非均匀海杂波环境中,参考单元中的异常单元限制了采样协方差矩阵(SCM)的估计性能,从而影响了传统自适应匹配滤波(AMF)检测器的检测性能。而考虑删除异常单元的方法在参考单元数目有限时可能导致矩阵的奇异性。鉴于此,在保持参考单元数目不变条件下,该文设计一种基于功率中值与归一化采样协方差矩阵(MNSCM)的估计方法,并将其与匹配滤波器(MF)相结合,构造一种新型的自适应匹配滤波检测器。与传统的自适应匹配滤波相比,该文设计的检测器在实测和仿真海杂波数据条件下均具有明显的性能优势。
  • 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.
    张玉石, 许心瑜, 尹雅磊, 等. L波段小擦地角海杂波幅度统计特性研究[J]. 电子与信息学报, 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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出版历程
  • 收稿日期:  2014-07-09
  • 修回日期:  2014-10-08
  • 刊出日期:  2015-06-19

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