A long baseline passive sensor data association method
This paper proposes a long baseline passive sensor data association method to improve the de-ghosting performance in the multi-target environment of direction-finding cross positioning system.Firstly,the line of sight(LOS)vector information measured by passive sensors is used for cross-positioning and the covari-ance matrix of positioning error is calculated.Then a Chi-square distribution test statistic is constructed based on the two positioning points,and the de-ghosting issue in multiple target conditions is transformed into a hypothesis testing issue.Finally,in order to analyze the performance of the proposed method,the correct association probabil-ity of the real target and the false association probability of the ghost target are defined,and the simulation compar-ison is also made with the hinge angle method in the case of using two and three sensors,respectively.The simula-tion results show that the proposed method has better correlation performance when three sensors are used or mul-tiple targets are coplanar with sensors.
国家科技期刊平台
NSTL
万方数据
维普
