Anti-bias track association algorithm based on target measurement error distribution
In the case of long-range and dense targets,aiming at the problem of high track error correlation rate due to large spatial positioning error of target caused by angle dimension error,an anti-bias track association algorithm based on target measurement error distribution is proposed.Firstly,based on the analysis of the spatial probability distribution characteristics of the target measurement error,the algorithm defines the reckon factor closely related to target identity.Then,using the geometric relationship between the associated target pair and radar,the measurement distance of target,the radar site and other prior information,the track association degree and track association cost matrices between the target tracks are calculated based on the Gaussian affiliation function in fuzzy mathematics theory.Finally,the classical allocation method is used to determine the track correlation.Simulation results show that the proposed algorithm has low track error correlation rate and good robustness,and is not affected by the number of targets.
NETL
NSTL
万方数据
