局部低秩提升法MIMO雷达成像

MIMO Radar Imaging by Localized Low-rank Promoting

为了获得MIMO雷达高分辨目标图像,文中深入挖掘成像目标的块稀疏特性。通过引入局部低秩提升算法研究回波信号块局部结构平滑现象,将稀疏回波信号中的连续系数划分为多个2×2维矩阵。借助局部低秩提升函数和对数行列式函数,利用最小优化算法实现了对目标信号的稀疏重构,结合其低秩性高效重构出目标像。仿真实验表明,所提方法较传统算法可以得到更高质量的目标像。

In order to obtain high resolution target image of MIMO radar,the paper dig deeper into block sparse characteristics of MIMO radar imaging.The paper studies the characteristics of the local signal smoothing by introducing localized low-rank promoting(LOOP)algorithm.Then the sparse continuous coefficient of echo signal is divided into multiple 2×2 dimensional matrixes.With the help of a local low-rank promotion function、logarithm determinant function and minimal optimization algorithm,the algorithm realized the signal sparse reconstruction of target and efficiently reconstructed the target image.Simulation results show that the proposed method can obtain higher quality target images than traditional algorithms.