扩展卡尔曼滤波在双基地信息融合中的应用

Bistatic Sonar Data Fusion based on Extended Kalman Filtering and Its Application

研究了扩展卡尔曼滤波理论,给出了双基地声纳系统的测距模型,推导了基于双基地声纳系统方位和距离的目标运动分析方法,给出了扩展卡尔曼滤波算法的模型,提出了给定发射站和接收站信息条件下的扩展卡尔曼滤波融合算法,进行了仿真实验,比较和分析了仿真结果,结果表明,所给出的目标运动分析方法提高了目标运动分析的稳定性和全局性。

The extended Kalman filtering theory is studied thoroughly.The model of measure distances for the bistatic sonar system is proposed.Based on the azimuth and range of bistatic sonar system,a method of target motion analysis is derived.The model of extended Kalman filtering algorithm is proposed.The extended Kalman filtering fusion algorithms in different conditions are derived.The simulation results showed that the new method improved the stability and global superiority of the target motion analysis.