均匀和部分均匀杂波中子空间目标的斜对称自适应检测方法

丁昊; 薛永华; 黄勇; 关键

doi:10.12000/JR14133

均匀和部分均匀杂波中子空间目标的斜对称自适应检测方法

doi: 10.12000/JR14133

(海军航空工程学院电子信息工程系烟台 264001)

基金项目:

国家自然科学基金(61179017, 61201445)和国家自然科学基金青年科学基金(61401495)资助课题

详细信息

作者简介:
丁昊(1988-),男,博士研究生,主要研究方向为海杂波特性认知、雷达目标检测等。E-mail:hao3431@tom.com;薛永华(1985-),男,博士研究生,主要研究方向为MIMO天波雷达电离层信道仿真、海杂波仿真、波形设计、目标检测等。E-mail:xueyhchina@163.com;黄勇(1979-),男,博士,主要研究方向为雷达目标检测、海杂波特性分析等。E-mail:huangyong_2003@163.com;关键(1968-),男,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

通讯作者:
丁昊

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- 被引次数: 0
出版历程
- 收稿日期: 2014-11-17
- 修回日期: 2015-01-04
- 网络出版日期: 2015-08-28

Persymmetric Adaptive Detectors of Subspace Signals in Homogeneous and Partially Homogeneous Clutter

(Department of Electronic and Information Engineering, Naval Aeronautical and Astronautical University, Yantai 264001, China)

摘要

摘要: 在雷达目标的自适应检测领域, 当参考单元数不足时, 充分挖掘协方差矩阵的结构信息是有效提高检测性能的途径之一。为此, 针对多维子空间目标的检测问题, 该文在协方差矩阵关于次对角线具有斜对称结构的约束下, 分别基于一步和两步广义似然比(GLRT), 推导了均匀和部分均匀杂波中的斜对称自适应检测器。由于检测器在设计阶段利用了协方差矩阵的结构信息, 仿真结果表明, 与已有检测器相比, 在参考单元数不足时, 斜对称自适应检测器可明显改善检测性能。此外, 分别从协方差估计方法的影响、目标子空间维数的影响、目标子空间失配性能以及目标起伏的影响4个方面对检测性能进行了仿真分析。
- 自适应检测 /
- 广义似然比(GLRT) 斜对称 /
- 子空间目标 /
- 部分均匀杂波
Abstract: In the field of adaptive radar detection, an effective strategy to improve the detection performance is to exploit the structural information of the covariance matrix, especially in the case of insufficient reference cells. Thus, in this study, the problem of detecting multidimensional subspace signals is discussed by considering the persymmetric structure of the clutter covariance matrix, which implies that the covariance matrix is persymmetric about its cross diagonal. Persymmetric adaptive detectors are derived on the basis of the one-step principle as well as the two-step Generalized Likelihood Ratio Test (GLRT) in homogeneous and partially homogeneous clutter. The proposed detectors consider the structural information of the covariance matrix at the design stage. Simulation results suggest performance improvement compared with existing detectors when reference cells are insufficient. Moreover, the detection performance is assessed with respect to the effects of the covariance matrix, signal subspace dimension, and mismatched performance of signal subspace as well as signal fluctuations.
- Adaptive detection /
- Generalized Likelihood Ratio Test (GLRT) /
- Persymmetry /
- Subspace signal

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