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.%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.
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