Track-before-detect Algorithm for Dim Targets Based on Gaussian Sum Particle Filter
LIU Zhen
Abstract：Track-before-detect algorithm based on gaussian sum particle filter is proposed,which aims at improving the per?formance of tracking dim targets before detection. The algorithm is based on Gaussian sum particle filtering which recursively esti?mates the posterior probability density of the target,not only avoiding the resampling process of the standard particle filter TBD method,but also approximating the posterior probability density more accurately. The simulation results show that compared with the PF-TBD and GPF-TBD,GSPF-TBD algorithm improves the detection and tracking performance of the target.
Keywords：gaussian sum particle filtertrack-before-detectdim target
Publication Date：2019-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：6( 2190-2195 )