Passive target motion analysis of multiple arrays based on state vector fusion

The method for the state vector fusion which used to solve the problem of passive target motion analysis(TMA) is studied in this paper based on respective passive sensor measurement and estimation of multiple arrays. In the condition of two arrays, bearings and frequency of target gained easily by each sensor in arrays are input. The results of the state vector using peseudolinear processing and extended Kalman filter is transmitted to the fusion center, then the optimal estimation of target is presented. The results of simulation experiment shows that the performance of target motion parameter estimation by the state vector fusion algorithm can be improved forthcoming.