首页|Multiple-model GLMB filter based on track-before-detect for tracking multiple maneuvering targets

Multiple-model GLMB filter based on track-before-detect for tracking multiple maneuvering targets

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A generalized labeled multi-Bernoulli(GLMB)filter with motion mode label based on the track-before-detect(TBD)strategy for maneuvering targets in sea clutter with heavy tail,in which the transitions of the mode of target motions are modeled by using jump Markovian system(JMS),is presented in this paper.The close-form solution is derived for sequential Monte Carlo implementation of the GLMB filter based on the TBD model.In update,we derive a tractable GLMB density,which preserves the cardinality distribution and first-order moment of the labeled multi-target distribution of interest as well as mini-mizes the Kullback-Leibler divergence(KLD),to enable the next recursive cycle.The relevant simulation results prove that the proposed multiple-model GLMB-TBD(MM-GLMB-TBD)algo-rithm based on K-distributed clutter model can improve the detecting and tracking performance in both estimation error and robustness compared with state-of-the-art algorithms for sea clutter background.Additionally,the simulations show that the proposed MM-GLMB-TBD algorithm can accurately output the multitarget trajectories with considerably less computational complexity compared with the adapted dynamic programming based TBD(DP-TBD)algorithm.Meanwhile,the simulation results also indicate that the proposed MM-GLMB-TBD filter slightly outperforms the JMS particle filter based TBD(JMS-MeMBer-TBD)filter in estimation error with the basically same computational cost.Finally,the impact of the mismatches on the clutter model and clutter parameter is investigated for the perfor-mance of the MM-GLMB-TBD filter.

generalized labeled multi-Bernoulli(GLMB)track-before-detect(TBD)jump Markovian system(JMS)K-distribu-tionKullback-Leibler divergence(KLD)

CAO Chenghu、ZHAO Yongbo

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School of Electronic Engineering,Xi'an University of Posts and Telecommunications,Xi'an 710121,China

National Laboratory of Radar Signal Processing,Xidian University,Xi'an 710071,China

Fund for Foreign Scholars in University Research and Teaching ProgramsShaanxi Youth Fund

B18039202J-JC-QN-0668

2024

10.23919/JSEE.2024.000040

系统工程与电子技术(英文版)
中国航天科工防御技术研究院 中国宇航学会 中国系统工程学会 中国系统仿真学会

系统工程与电子技术(英文版)

CSTPCD
影响因子：0.64
ISSN：1004-4132
年,卷(期)：2024.35(5)