多传感器跟踪系统自适应Kalman滤波融合

摘要

多传感器目标跟踪的一个实际问题是如何获得目标的过程噪声信息,以获得较好的跟踪性能.针对多传感器分布式估计融合系统,利用这种自适应技术给出了一种自适应Kalman滤波的融合方法,它具有与中心式相近的跟踪性能.计算机模拟结果表明:这种方法具有较优良的性能.%The key problem of multi-sensor tracking targets is how to get the information of the process noise so as to get a good performance of tracking targets. The adaptive Kalman filter is used to track a maneuvering target under the system of the distributed estimation fusion. It has the asymptotical performance with the centralized system. Simulation shows that this technique has a good performance.