This article deals with the problem of adaptive target detection in the presence of homogeneous Gaussian interference with frequency diverse array multiple-input multiple-output radar. Adaptive detectors are devised according to the generalized likelihood ratio test criterion, where the position of the target within each range cell is assumed unknown. To obtain the maximum likelihood estimate of the target incremental range under the $H_1$ hypothesis, three different optimization strategies are pursued. They are, respectively, based on semidefinite programming, discrete grid search, and Newton method. At the analysis stage, a detection performance comparison is carried on among the new proposed adaptive detectors, benchmark, and mismatched receivers. Numerical results corroborate the effectiveness of the developed receivers.

中文翻译：

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FDA-MIMO雷达中基于GLRT的自适应目标检测

本文讨论了在频率分布阵列多输入多输出雷达存在同质高斯干扰的情况下的自适应目标检测问题。自适应检测器是根据广义似然比测试标准设计的，其中假设目标在每个距离单元内的位置都是未知的。为了在$ H_1 $假设下获得目标增量范围的最大似然估计，采用了三种不同的优化策略。它们分别基于半定程序，离散网格搜索和牛顿法。在分析阶段，将对新提出的自适应检测器，基准检测器和不匹配的接收器进行检测性能比较。数值结果证实了开发的接收器的有效性。