具有未知参数的多输入多输出雷达弱目标检测

摘要

针对弱目标检测算法的特点,提出了一种新的多输入多输出（MIMO）雷达检测器。在经典线性模型的基础上,通过最大似然法对未知统计特性的噪声量进行了估计。利用所得到的估计量,分别推导了在信道完全不相关和信道任意相关条件下虚警概率和检测概率的闭合表达式,对具有未知参数的MIMO雷达在任意信道环境下的检测算法进行了分析和比较,有效地解决了具有未知统计特性的噪声的MI-MO雷达目标检测问题。仿真结果证实了该方法的有效性。%According to the characteristics of weak target detection algorithms,a new multiple input multiple output（MIMO） radar detector is proposed.Based on the classical linear model,the noise components with unknown statistics are estimated via maximum likelihood（ML） method.With the estimations,the close expression of false alarm rate and detection probability is derived on the conditions of uncorrelated and randomly correlated channel.The detection algorithms of MIMO radar with unknown parameters at random channel are analyzed and evaluated.The target detection with the noise of unknown statistic on MIMO radar is solved and the capability of the proposed method is validated with the simulation results.