基于稀疏表示的频控阵MIMO雷达多目标定位

Multiple Targets Localization in Sparse Representation-Based Frequency Diverse Array MIMO Radar

针对频控阵多输入多输出(MIMO)雷达,提出了一种基于压缩感知稀疏表示思想的目标定位算法。首先回顾了MIMO雷达和频控阵的特点,进而研究了频控阵MIMO雷达的性质,它不但可以具有MIMO雷达的优点,而且能够感知目标的距离维信息,同时针对频控阵MIMO雷达接收数据模型进行数学建模,并把目标定位问题表示成稀疏表示框架下的代价函数。最后利用凸优化工具对代价函数进行优化求解,由所得稀疏权向量中的非零元素索引映射出目标的方位和距离信息。与现有的经典MUSIC算法相比,具有更好的定位性能,计算机仿真结果证明了所提算法的有效性。

For the frequency diverse array（FDA） multiple-input and multiple-output （MIMO） radar, a target localization algorithm in sparse signal representation perspective is presented. Firstly, the characters of the MIMO radar and FDA are reviewed, then the properties of the FDA MIMO radar are studied, that is, it not only owns the merits of the MIMO radar, but also can sense the range information of the targets. Its re- ceiving mathematical measurement is also modeled, and the target localization problem is described as a cost function under the sparse representation framework. Finally, the angle and the range of the targets are esti- mated by mapping the non-zero element indexes of the sparse vector which is obtained by solving the cost function using existing convex tool. Compared with the existing classic MUSIC algorithm, the proposed algo- rithm can achieve better localization performance. The computer simulation results demonstrate the effective- ness of the algorithm.