A Centralized Asynchronous Fusion Algorithm for Sensors with Different Resolution Based on DP-TBD

This paper addresses multiple targets tracking problem using multiple different resolution sensors via dynamic programming (DP) based track-before-detect (TBD). To alleviate this problem, a centralized asynchronous fusion algorithm for sensors with variable resolution via DP-TBD is proposed in this paper. This algorithm is divided into two steps. In the first step, the echo data obtained from different resolution sensors are aligned to the measurement space of same cell size. In the second step, measurement data derived from sensors with different sampling periods is sent to the fusion center in time order. Next, DP-TBD is used to dispose these data and generate recover track. Besides, a method of adaptively adjusting transition states number is proposed to improve the efficiency of asynchronous fusion. Simulation results show that the proposed algorithm is able to solve sensors with different resolution a synchronous fusion problems and effectively improve the tracking performance of DP-TBD comparing to single sensor.