基于滤波器结构的压缩感知雷达感知矩阵优化

 压缩感知雷达的目标场景恢复性能要求不同目标的反射回波在压缩空间上的互相关性尽可能小。基于该思想,提出了压缩感知雷达感知矩阵优化模型,根据系统参数和任务信息,以降低感知矩阵互相关性为目标,自适应地构造发射波形和测量矩阵,提升系统性能。分别给出了基于滤波器结构的压缩感知雷达发射波形优化、测量矩阵优化以及波形-测量矩阵联合优化算法。仿真结果表明:本文提出的压缩感知雷达感知矩阵优化模型和算法能够有效地提高场景恢复精度。

Optimized Sensing Matrix Design of Filter Structure Based Compressed Sensing Radar

The sparse scene recovery performance of a compressed sensing radar (CSR) requires that the cross correlations between the atoms of the sensing matrix be as small as possible. Based on this thought, a CSR optimal sensing matrix design system is proposed. According to the information of the radar system task and target scene, it can optimize the transmitted waveform and measurement matrix adaptively for the purpose of reducing the coherence of the sensing matrix to improve the system performance. The algorithms for optimizing the transmitted waveform and measurement matrix separately and jointly are presented. Simulation results demonstrate that the proposed methods can effectively improve scene recovery accuracy.