【摘要】 针对被动传感器观测的非线性问题,将无迹变换引入卡尔曼滤波算法中.进一步,针对其弱可观测性,采用多个被动传感器集中式融合跟踪策略,提出了基于无迹卡尔曼滤波的被动多传感器融合跟踪算法.以3个被动站跟踪为例进行仿真研究,结果表明所提出的算法可达到比经典的扩展卡尔曼滤波算法更高阶的跟踪精度.更多还原

【Abstract】 According to the nonlinear problem for the passive-sensor system,unscented transformation is introduced into Kalman filter based on passive target tracking algorithm.Then,multi-passive-sensor fusion scheme is adopted to deal with the difficulty of observability problem for single passive sensor system.Thus,multi-passive-sensor fusion tracking algorithm based on unscented Kalman filter(UKF) is proposed.Simulation results show that the proposed algorithm perform better than extended Kalman filter(EKF) in target tracking for a three-passive-sensor system.更多还原