分布式目标的子空间双门限GLRT CFAR检测

doi:10.3969/j.issn.0372-2112.2012.09.010

电子学报 ›› 2012, Vol. 40 ›› Issue (9): 1759-1764.DOI: 10.3969/j.issn.0372-2112.2012.09.010

分布式目标的子空间双门限GLRT CFAR检测

关键¹, 张晓利^1,2, 简涛¹, 何友¹

1. 海军航空工程学院电子信息工程系, 山东烟台 264001;
2. 解放军92664部队, 山东青岛 266000

收稿日期:2010-12-04 修回日期:2012-05-18 出版日期:2012-09-25
- 作者简介:
- 关键 男,1968年生,辽宁锦州人,教授,博士生导师,主要研究方向为雷达目标检测与跟踪、侦察图像处理和信息融合.获全国优秀博士学位论文奖,新世纪百千万人才工程国家级人选. E-mail:guanjian96@tsinghua.org.cn 张晓利 男,1981年生,山东栖霞人,博士,主要研究方向为雷达信号处理. E-mail:zxl_-1239@163.com
- 基金资助:
- 国家自然科学基金 (No.61179017,No.60802088)

Dual-Threshold CFAR Detection for Distributed Targets

GUAN Jian¹, ZHANG Xiao-li^1,2, JIAN Tao¹, HE You¹

1. Department of Electronic and Information Engineering, Navy Aeronautical and Astronautical University, Yantai, Shandong 264001, China;
2. Unit 92664 of PLA, Qingdao, Shandong 266000, China

Received:2010-12-04 Revised:2012-05-18 Online:2012-09-25 Published:2012-09-25
- Supported by:
- National Natural Science Foundation of China (No.61179017, No.60802088)

摘要/Abstract

摘要： 研究了分布式目标在球不变随机变量杂波中的检测问题,提出了一种具有恒虚警特性的双门限广义似然比检测器。分布式目标建模为子空间信号,在距离维和多普勒频率维同时扩展.第一门限的作用是筛选信杂比高的待检测距离单元.将选出的距离单元进行能量积累并与第二门限进行比较做出判决.假设杂波协方差矩阵已知,构造了双门限检测器,并通过推导检测器虚警概率说明其具有恒虚警特性.将基于辅助通道数据的杂波协方差矩阵的估计值替换假设已知的杂波协方差矩阵,得到一个自适应检测器.通过Monte Carlo仿真进行性能分析,说明检测器的有效性和鲁棒性.

关键词: 分布式目标, 恒虚警率, 双门限检测, 子空间, 广义似然比

Abstract: For the distributed target in spherically invariant random vector clutter,a dual-threshold GLRT detector with constant false alarm rate (CFAR) property is derived.The distributed target,which is modeled as a subspace random signal,may be distributed both in range and in Doppler frequency axes.The cell whose signal-to-clutter ratio is higher is selected by the first threshold.Then the accumulation of energy is implemented in these selected cells,and it makes a final decision according to the second threshold.Assuming that the normalized clutter covariance matrix is known,the dual-threshold GLRT is devised.The probability of false alarm of dual-threshold GLRT is derived and it ensures CFAR property.And then according to a secondary data set to estimate the clutter normalized clutter covariance matrix,the adaptive detector is obtained.The performance assessment conducted by Monte Carlo simulation confirms the effectiveness and robustness of the proposed detector.

Key words: distributed target, constant false alarm rate (CFAR), double threshold decision, subspace, generalized likelihood ratio test (GLRT)

中图分类号:

TN957.51

关键, 张晓利, 简涛, 等. 分布式目标的子空间双门限GLRT CFAR检测[J]. 电子学报, 2012, 40(9): 1759-1764.

GUAN Jian, ZHANG Xiao-li, JIAN Tao, et al. Dual-Threshold CFAR Detection for Distributed Targets[J]. Acta Electronica Sinica, 2012, 40(9): 1759-1764.

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分布式目标的子空间双门限GLRT CFAR检测

Dual-Threshold CFAR Detection for Distributed Targets

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