A new TMA method for state estimation of underwater target
In this paper,a novel target motion analysis(TMA)method using unscented Kalman Filter(UKF)based on modified polar coordinates(MPC)is proposed to improve the localization accuracy for underwater target with constant velocity.The proposed approach utilizes bearings of two-arrays to estimate the localization and velocity of the target.Unlike extended Kalman filter,unscented Kalman Filter(UKF),which is biased and sensitive to the initial value in Cartesian coordinate,the proposed scheme is much more stable and asymptotically unbiased.Moreover,the performances among these schemes are compared based on the noisy bearings from towed array sonar and flank array sonar via Monte Carlo simulations.Simulation results show that the proposed MPC-UKF has better performances with higher numerical stability and little cost of computational complexity.
Under water target localization TMA UKF modified polar coordinate
Sun Wei Nan Pulong
Science and Technology on Commuication Information Security Control Laboratory;No.36 Research Institute of CETC,Jiaxing,Zhejiang,314033,China
国际会议
杭州
英文
1-4
2018-12-03（万方平台首次上网日期，不代表论文的发表时间）