天波超视距雷达的多路径融合多目标跟踪算法

Multipath fusion multi-target tracking algorithm for over-the-horizon radar

针对天波超视距雷达(over-the-horizon radar,OTHR)的信号多路径传播特点,提出一种融合多路径信息的多目标跟踪算法。该算法利用概率多假设跟踪(probabilistic multi-hypothesis tracker,PMHT)算法中量测与目标关联的"软"决策模型优势,并对多路径观测函数显式建模,推导了多路径量测融合处理公式。仿真实验结果表明,相比于标准PMHT算法,所提出算法实现了在低检测概率、高杂波的OTHR环境下对多个目标的更有效跟踪,获得更高的目标状态估计精度和更低的失跟率。

Considering the multipath signal propagation in over-the-horizon radar （OTHR） , a mul ti-target tracking algorithm based on the multipath information fusion is proposed. It exploits the merit of the ＂soft＂ as-sociation between measurements and targets in probabilistic multi-hypothesis tracker （PMHT） algorithm. By explicitly modeling the multipath measurement function, the resulting fusion formulation is derived. The simu-lation results show that, in the complex scenario of OTHR with low detection probability and dense clutter, the proposed multipath-aided PMHT algorithm notably outperforms the standard PMHT in the mult-target states estimation and the rate of track loss.