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GM‐PHD Filter With Signal Features Of Emitter
Author(s) -
Zhu Youqing,
Zhou Shilin
Publication year - 2015
Publication title -
asian journal of control
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.769
H-Index - 53
eISSN - 1934-6093
pISSN - 1561-8625
DOI - 10.1002/asjc.1040
Subject(s) - common emitter , clutter , signal (programming language) , filter (signal processing) , tracking (education) , computer science , process (computing) , algorithm , artificial intelligence , electronic engineering , engineering , computer vision , telecommunications , radar , psychology , pedagogy , programming language , operating system
A new GM‐PHD filter for multiple emitter targets tracking is proposed in this paper. It integrates the signal features of emitter into the process of weights update. In the case of unknowing the distribution of signal features, the FCM algorithm is used for reference to calculate the correlation coefficients between the measurements and candidate targets in place of the likelihoods. Simulation results show that the proposed method can effectively improve the tracking performance in the scenarios with different clutter densities.