Square-Root UKF Passive Target Tracking Algorithm Based on Memory Attenuation Filtering
Xiaohong Chen · Measurement & Control Technology · 2010
Taking account of the features of nonlineare and weak observability of the underwater passive target tracking problem,and combining with the two factors known as model error and calculation error which leads to divergence of filters,a kind of square-root UKF algorithm based on memory attenuation filtering is proposed.In the proposed algorithm,the memory attenuation filtering and square-root filtering are utilized to overcome the divergence caused by model error and calculation error.The algorithm has enhanced system stability and tracking accuracy.Computer simulation results demonstrate that the MASRUKF has enhanced the stability of the filtering,and has better tracking accuracy than EKF and UKF algorithm.It has received good results and has high practical value.