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MIMO(multiple-input-multiple-output)雷达可利用空间分集克服目标散射系数起伏所造成的检测性能损失.为了研究不同目标起伏模型下的MIMO雷达检测性能,文中首先建立了与时域Swerling模型相对应的空域起伏目标模型,将目标分为不起伏、Rayleigh起伏和Rician起伏三类.然后针对Rician起伏目标模型,根据Stein定理,引入信息论中相对熵的概念,分析了MIMO雷达的最优检测器形式及检测性能上界.研究表明,在低信噪比区域,MIMO雷达对Rician起伏目标的性能改善主要体现在接收阵列增益上,与接收阵元数目有关.在高信噪比区域,MIMO雷达的性能改善主要体现在分集增益上,与收、发阵元数目的乘积有关.这一结论对Rician起伏目标模型下的MIMO雷达系统配置具有重要的参考价值.
MIMO (multiple-input-multiple-output) radar can overcome the loss of detection performance caused by the fluctuation of the target scattering coefficient by using spatial diversity.In order to study MIMO radar detection performance under different target undulation models, The corresponding airspace undulation target model, the target is divided into three categories: ups and downs, Rayleigh undulation and Rician undulation.Then for Rician undulating target model, according to the Stein theorem, the concept of relative entropy in information theory is introduced to analyze the optimal detector of MIMO radar Form and the upper bound of the detection performance.The research shows that the performance improvement of the Rician undulation target in the low signal-to-noise ratio region is mainly reflected in the receiving array gain and the number of receiving elements.In the high SNR region, the MIMO radar The performance improvement is mainly reflected in the diversity gain, which is related to the product of the number of received and transmitted elements.This conclusion has important reference value for the system configuration of MIMO radar under the Rician undulation target model.