基于分布式压缩感知的联合检测与跟踪算法

Algorithm for joint detection and tracking based on distributed compressed sensing

多基雷达系统对隐身目标的检测与跟踪具有良好的效果,但是在集中式融合框架下应用于多基雷达的检测与跟踪算法具有计算复杂、计算量大的缺点.对此,提出一种应用于多基雷达系统的基于分布式压缩感知的联合检测与跟踪算法.首先,应用分布式紧凑感知矩阵追踪算法直接重构出表征目标状态空间信息的稀疏网格反射向量;然后,应用检测前跟踪算法得到精确的目标运动状态和轨迹.仿真实验表明了所提出算法的有效性.

Multi-static radar systems are capable of detecting and tracking stealthy targets. However, the state-of-theart detection and tracking algorithms in a centralized fusion framework suffers from high computational complexity.Therefore, an approach, namely distributed compressed sensing based joint detection and tracking, is proposed for the multi-static radar system, which reduces the computational load largely, in a centralized fusion framework. In the proposed approach, a distributed compact sensing matrix pursuit（DCSMP） algorithm is firstly adopted to reconstruct the sparse grid reflection vector by using distributed compressed sensing matrix pursuit algorithm. The outputs of the DCSMP algorithm are directly fed as instantaneous measurements to the track-before-detect（TBD） tracker, which removes the false measurements and correctly associates the target-generated measurements to the respective targets. Numerical experiments are given to illustrate the correctness of the proposed algorithm.