零训练样本的集中式MIMO雷达斜对称检测器

杨海峰; 蒋国喜; 刘维建; 谢文冲; 王永良

doi:10.11999/JEIT170295

零训练样本的集中式MIMO雷达斜对称检测器

doi: 10.11999/JEIT170295

1.
(空军预警学院武汉 430019) ②(94535部队徐州 221005)

基金项目:

国家自然科学基金青年基金(61501505, 61501506)，湖北省自然科学基金(2015CFB607)

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- 文章访问数: 1299
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- 被引次数: 0
出版历程
- 收稿日期: 2017-04-05
- 修回日期: 2017-11-15
- 刊出日期: 2018-02-19

Persymmetric Detectors Without Training Data for Colocated MIMO Radar

1.
(Air Force Early Warning Academy, Wuhan 430019, China)
2.
(The Unit 94535 of PLA, Xuzhou 221005, China)

Funds:

The National Natoural Science Foundation of China (61501505, 61501506), The Hubei Provincial Natural Science Foundation (2015CFB607)

摘要

摘要: 传统集中式多输入多输出(MIMO)雷达自适应检测器虽然不需要训练样本即可实现目标检测，但在波形采样数较少时检测性能下降明显。该文利用集中式MIMO雷达噪声协方差矩阵的斜对称结构，基于广义似然比(Generalized Likelihood Ratio Test, GLRT)准则和Wald准则，提出了相应的斜对称检测器，并给出了统计分布特性及检测概率和虚警概率的解析表达式。仿真结果表明所提检测器在波形采样数较少时仍可获得较好的检测性能，同时证明了理论分析的正确性。
- 多输入多输出雷达 /
- 统计性能 /
- 斜对称结构
Abstract: The traditional detectors of colocated MIMO radar can detect a target without training data. However, the detection performance is poor with low number of waveform sampling. In this paper, two detectors, based on the Generalized Likelihood Ratio Test (GLRT) and Wald test criteria, are given by utilizing the persymmetric structure of the noise covariance matrix of colocated MIMO radar. In addition, the statistical distributions of the proposed detectors are analyzed and the analytical expressions of the probabilities of false alarm and detection are given. Simulation results show that the proposed detectors achieve good performance when the number of waveform sampling is low, and verify the theoretical results.
- MIMO radar /
- Statistical performance /
- Persymmetric structure

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参考文献(30)

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