在复合高斯杂波满足局部均匀的背景下,对均匀杂波分组模型进行推广,建立了广义杂波分组模型.进一步,利用广义似然比检验(GLRT)原理,提出了距离扩展目标的基于广义杂波分组的GLRT检测器(GCC-GLRT),并推导了检测器虚警概率与检测门限关系的表达式.GCC-GLRT有效地解决了基于均匀杂波分组的GLRT检测器(CC-GLRT)在非均匀杂波分组背景下不具备CFAR特性的问题.仿真结果还表明,对于稀疏散射点目标,在合适的杂波分组情况下,GCC-GLRT能有效克服采用NSDD-GLRT检测器出现的“坍塌损失”,改善检测器的检测性能.
Abstract
When the compound-Gaussian clutters are cluttered into groups of data with one and the same value of the texture,the homogeneous clutter-clustered model is generalized,and a generalized clutter clustered model is established.Moreover,a generalized likelihood ratio test detector based on the generalized clutter-clustered (GCC-GLRT) is proposed,and the formula relating false alarm probability to detection threshold is deduced.The GCC-GLRT solves the problem that the CC-GLRT is not CFAR in inhomogeneous clutter-clustered background.The simulation results show that the GCC-GLRT can overcome the collapsing loss of the NSDD-GLRT detecting spare scatterers target and improve the detection performance of the detector.
关键词
复合高斯杂波 /
球不变随机向量 /
杂波分组 /
广义似然比检验
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Key words
compound-Gaussian clutter /
spherically invariant random vector /
clutter-clustered /
generalized likelihood ratio test
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中图分类号:
V243.2
TN957.51
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参考文献
[1] KELLY E J.An adaptive detection algorithm[J].IEEE Transactions on Aerospace and Electronic Systems, 1986, 22:115-127.
[2] 何友, 关键, 孟祥伟, 等.雷达目标检测与恒虚警处理(第二版)[M].北京:清华大学出版社, 2011. HE You, GUAN Jian, MENG Xiang-wei, et al.Radar Target Detection and CFAR Processing, 2nd[M].Beijing:Tsinghua University Press, 2011.(in Chinese)
[3] WARD K D, BAKER C J, WATTS S.Maritime surveillance radar.Part 1:Radar scattering from the ocean surface[J].IEE Proceedings F Radar and Signal Processing, 1990, 137(2):51-62.
[4] 简涛, 何友, 苏峰, 等.复合高斯杂波协方差矩阵估计的失配性能分析[J].电子学报, 2011, 39 (4):963-966. JIAN Tao, HE You, SU Feng, et al.Mismatch analysis of covariance matrix estimator for compound-Gaussian clutter[J].Acta Electronica Sinica, 2011, 39 (4):963-966.(in Chinese)
[5] 简涛, 何友, 苏峰, 等.SIRV杂波下距离扩展目标CFAR检测器[J].电子学报, 2010, 38(12):2740-2744. JIAN Tao, HE You, SU Feng, et al.Range-spread target CFAR detection under SIRV clutter[J].Acta Electronica Sinica, 2010, 38(12):2740-2744.(in Chinese)
[6] CONTE E, LOPS M, RICCI G.Adaptive detection schemes in compound-Gaussian clutter[J].IEEE Transactions on Aerospace and Electronic Systems, 1998, 34(4):1058-1069.
[7] DI BISCEGLIE M, GALDI C.Random walk based characterization of radar backscatter from the sea surface[J].IEE Proceedings-Radar, Sonar and Navigation, 1998, 145(4):216-225.
[8] GERLACH K.Spatially distributed target detection in non-Gaussian clutter[J].IEEE Transactions on Aerospace and Electronic Systems, 1999, 35(3):926-934.
[9] BON N, KHENCHAF A, GARELLO R.GLRT subspace detection for range and Doppler distributed targets[J].IEEE Transactions on Aerospace and Electronic Systems, 2008, 44(2):678-696.
[10] HE Y, JIAN T, SU F, et al.Novel range-spread target detectors in non-Gaussian clutter[J].IEEE Transactions on Aerospace and Electronic Systems, 2010, 46(3):1312-1328.
[11] GUAN J, ZHANG X L.Subspace detection for range and Doppler distributed targets with Rao and Wald tests[J].Signal Processing, 2011, 91(1):51-60.
[12] CONTE E, DE MAIO A, RICCI G.CFAR detection of distributed targets in non-Gaussian disturbance[J].IEEE Transactions on Aerospace and Electronic Systems, 2002, 38(2):612-621.
[13] 张贤达.矩阵分析与应用[M].北京:清华大学出版社, 2004. ZHANG Xian-da.Matrix Analysis and Applications[M].Beijing:Tsinghua University Press, 2004.(in Chinese)
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脚注
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基金
国家自然科学基金 (No.61032001,No.61102166); 新世纪优秀人才支持计划 (No.NCET-11-0872)
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