Bearing-only Target Motion Analysis Based on Underwater Sensor Networks
Haining Huang · Shipbuilding of China · 2011
Basic principle and method for target motion analysis,based on bearing measurement with underwater sensor networks,is studied in this paper.A new target motion analysis(TMA) algorithm which perfectly combines the extended kalman and particle filter(EKF-PF) is presented based on the discrete nonlinear model of passive localization in underwater sensor networks,with system design consideration and iterated method included.Furthermore,through Monte Carlo simulations the algorithm is compared with extended kalman filter(EKF) and particle filter(PF).The results demonstrate that the proposed new TMA has less computation and better performance because it utilizes current data of measurement to acquire the posteriori estimation of the nonlinear system.