Simulation Study on Algorithm of Underwater Target Motion Analysis
Jie Xia · Jisuanji fangzhen · 2012
The basic principle and method for underwater target motion analysis based on bearing was studied.For the problem of posterior probability and particle degeneracy for SIR,a modified particle filter algorithm was proposed,which perfectly combined the extended kalman and particle filter(EKFPF) and adopted the Markov chain Monte Carlo method to overcome the effect of particle degeneracy and solve the problem of the sample impoverishment as re-sampling.Simulation results show the feasible of the algorithm and better estimation performance for underwater bearing-only target motion analysis(BO-TMA).