Data Association Method for Radar Network Based on Time Restraint

Abstract

Data association is one of the most important issues in multi-target tracking for radar network. In order to meet the high real-time requirement of the multi-target tracking system in the future, a data association method based on time restraint is presented. Firstly, the modified association probability matrix between the observations and tracks is calculated, and the optimal association model is established. Then, the time restraint based auction algorithm is proposed to solve the association issue. The design and flow of this algorithm is offered, and the simulation of the method is designed. Simulation results demonstrate that the proposed method has an ideal association performance in the restrained time.