Pearson 杂波背景下基于模糊积累的距离扩展目标检测

司昌龙; 徐达; 李晓敏

doi:10.15892/j.cnki.djzdxb.2011.04.031

2011 , Vol. 31 >Issue 4: 204 - 206

DOI: https://doi.org/10.15892/j.cnki.djzdxb.2011.04.031

摘要

研究Pearson分布杂波背景下基于模糊积累的距离扩展目标检测方法性能。推导出将观测值映射到虚警空间的隶属函数,分析了模糊代数积、模糊代数和两种积累方法的性能,并与二进制积累方法进行了比较。仿真结果表明P_d=0.5时模糊代数和积累、模糊代数积积累较二进制积累方法可分别获得广义信杂比约10dB和6dB的性能改善。

关键词： 高分辨雷达; 距离扩展目标; 恒虚警; Pearson分布; 隶属函数

本文引用格式

司昌龙 , 徐达 , 李晓敏 . Pearson 杂波背景下基于模糊积累的距离扩展目标检测[J]. 弹箭与制导学报, 2011 , 31(4) : 204 -206 . DOI: 10.15892/j.cnki.djzdxb.2011.04.031

Abstract

The performance of the detection scheme of range-extended target was studied based on fuzzy integration under Pearson distribution clutter. The membership function which maps the observation set to a false alarm space corresponding to the false alarm rate was deduced, the performances of the fuzzy algebraic sum integrator and the fuzzy algebraic product integrator were analyzed and compared with the binary integrator. The simulation results show that the fuzzy algebraic sum integrator and the fuzzy algebraic product integrator render about 10dB and 6dB improvement of GSNR over the binary integrator respectively when the probability of detection is equal to 0.5.

Key words： range-extended target; constant false alarm rate(CFAR); Pearson distribution; membership function

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参考文献

[1]	孟祥伟, 曲东才, 何友. 高斯背景下距离扩展目标的恒虚警检测[J]. 系统工程与电子技术, 2005, 27(6): 1012-1015.
[2]	蔡春, 杨军, 秦江敏. Weibull 杂波背景下扩展目标的恒虚警率检测[J]. 空军雷达学院学报, 2006, 20(2): 111-113.
[3]	郝程鹏, 蔡龙, 陈模江. 高斯杂波中距离扩展目标的模糊 CFAR 检测[J]. 系统工程与电子技术, 2010, 32(4): 678-681.
[4]	Tsakalides P, Trinci F, Nikias C L. Performance assessment of CFAR processors in Pearson distributed clutter[J]. IEEE Transactions on Aerospace and Electronic Systems, 2000, 36(4): 1377-1386.
[5]	郝程鹏, 蔡龙. Pearson分布杂波背景下均值类恒虛警检测器的性能分析[J]. 弹箭与制导学报, 2009, 29(2): 227-230.
[6]	Leung S W, Minett J W. A fuzzy approach to signal integration[J]. IEEE Trans. on Aerospace and Electronic Systems, 2002, 38(1): 346-351.

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