Multiple Extended Targets Tracking Algorithm Based on Generalized Labeled Multi-Bernoulli Filter

Abstract

An extended target filter based on random finite sets (RFS) is proposed with modeling for Star-Convex. The proposed algorithms combine multiple hypotheses tracking (MHT) and labeled RFS to smooth the multiframe measurements. Experimental results show that the proposed algorithm is able to form the track and estimate the target state effectively, the tracking performance is better than that of the traditional extended target filter in the low signal-to-noise ratio (SNR) scenario.