Study on Theory of Multi-target Tracking and Data Association Algorithms in Phased Array Radar

Abstract

This paper firstly introduced the theory of target tracking and studied the process of data association for multi-target tracking of multifunctional phased array radar. Then, a new approach is proposed to deal with the uncertainty of measurement origin and the disadvantage of probabilistic data association filter (PDAF) and joint probabilistic data association filter (JPDAF), and the method directly gets posterior probability by less computational load. The modified method mainly analyzed the influence of common measurements in different gates, and neither like that probabilistic data association (PDA) is to use all of the validated measurement with different weights, nor like that the JPDA algorithm is used to track multiple targets by evaluating the measurement-to-track association probabilities and combining them to find the state estimation, Monte-Carlo simulation results show that the algorithm has a small computation and a better real-time tracking performance, so it is applicable to the data processing of phased array radar