利用幅值信息的超视距雷达多路径概率数据互联算法

天波超视距雷达是通过电离层反射实现超视距广域监视的,其地理坐标系下的量测方程存在强非线性,同时由于电离层的不同分层,造成了多路径传播的严重问题,即同时存在多个量测模型。多路径概率数据互联(MPDA)滤波器将坐标配准与概率数据互联相结合,解决了超视距目标跟踪中的多路径传播问题,但在杂波环境下滤波跟踪精度不高。文中提出了一种基于信号幅值特征信息的MPDA算法(A-MPDA),当跟踪单一的、存在4种可能非线性量测的非机动目标时,仿真结果表明所提出的算法比标准MPDA有更好的跟踪精度。

Algorithm of Target Tracking of OTHR Based on MPDA Using Amplitude Information

Considering the problem of OTHR's target tracking, which estimates the state of a discrete-time, linear stochastic system whose observation process consists of a finite set of known, non-linear measurement models, MPDA (Multipath Probabilistic Data Association) filter is capable of exploiting Multipath target signatures arising from discrete propagation modes that are resolvable by the radar. In this paper, a new MPDA algorithm using amplitude information (A-MPDA) is proposed. Numu8erical simulations are made under clutter environment. When tracking a single, non-maneuvering target in an environment where up to four possible measurements of state are received, the simulation results show that the performance of the algorithm proposed in this paper is superior to that of normal MPDA.