摘要
在被动定位中,初始状态值不能精确得到,其设定误差一般较大,从而影响滤波收敛速度和精度。为解决这一问题,采用了多模型滤波方法,多个滤波器分别在不同的初始条件下同时滤波,实时计算各滤波器的加权值,然后进行数据互联。理论分析和仿真结果表明,应用这一方法,收敛速度和精度得到改善,提高了算法的适应性。
The value of initial state is always inaccurate, that affects filter convergent rate and accuracy in passive location. Multiple model algorithm is adopted in order to solve the problem. Many filters are working together with different initial values. Power value of each filter is computed in real time for data association. Both theory analysis and simulation results indicate that the method improves convergent rate and accuracy as well as adaptability of the algorithm.
出处
《信号处理》
CSCD
2003年第3期278-280,共3页
Journal of Signal Processing
