基于模糊最小方差估计的超视距雷达多模式融合跟踪算法

Multi-Mode Fusion Tracking Algorithm of OTHR Based on Fuzzy Least Covariance Estimation

天波超视距雷达(OTHR)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。本文借鉴多传感器数据融合的思想,提出了一种新的超视距雷达跟踪算法,将多路径信息看作是多传感器提供的量测信息,利用模糊最小方差估计的方法对多路径信息进行同步融合。仿真结果表明,当在杂波环境中,跟踪一个存在四种可能非线性量测的非机动目标时,本文提出的基于模糊最小方差估计的多模式融合跟踪算法(FLCE-MFT)与多径概率数据互联算法(MPDA)相比,在距离维的精度具有很大改善,且耗时大大缩短,具有更好的跟踪性能。

OTHR(Over-the-Horizon Radar) achieves the over the horizon surveillance by reflection of ionosphere.The measurement equation is strong nonlinear and a serious problem is multi-path propagation caused by the layered ionosphere.The problem of OTHR's target tracking estimates the state of a discrete-time,linear stochastic system whose observation process consists of a finite set of known,non-linear measurement models.Using the idea of multi-sensor data association,a new Multi-Mode Fusion Tracking Algorithm of ...