论文标题
一种基于概率模型的强稳定波形设计，用于MIMO雷达检测
A Probabilistic Model-Based Robust Waveform Design for MIMO Radar Detection
论文作者
论文摘要
本文介绍了用于多输入 - 多数输出（MIMO）雷达检测的鲁棒波形设计。提出了一个概率模型来描述目标不确定性。考虑到基于最大化检测概率的波形设计是棘手的，因此使用两个假设（即存在/不存在）的观测值之间的相对熵作为设计度量。为了解决所得的非凸优化问题，得出了基于少量最大化（MM）的有效算法。数值结果表明，所提出的算法合成的波形对于模型不匹配更强大。
This paper addresses robust waveform design for multiple-input-multiple-output (MIMO) radar detection. A probabilistic model is proposed to describe the target uncertainty. Considering that waveform design based on maximizing the probability of detection is intractable, the relative entropy between the distributions of the observations under two hypotheses (viz., the target is present/absent) is employed as the design metric. To tackle the resulting non-convex optimization problem, an efficient algorithm based on minorization-maximization (MM) is derived. Numerical results demonstrate that the waveform synthesized by the proposed algorithm is more robust to model mismatches.
