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《Journal of Air Force Radar Academy》 2008-01
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Track-before-detection Based on Resampling Smoothing Particle Filter

ZHAO Zhi-guo1,WANG Shou-yong2,TONG Wei3(1.Department of Graduate Management,AFRA,Wuhan 430019,China;2.Department of Information & Command Automation,AFRA,Wuhan430019,China;3.Airforce Military Representative Office in No.38 Research Institute of CETC,Hefei 230031,China)  
Aimed at the drawbacks of the track-before-detection(TBD) algorithm based on sequential importanceresampling(SIR),the track-before-detection(TBD) resampling smoothing(RS) algorithm and its simplified RSalgorithm were proposed.By applying RS to SIR-TBD,SIRS-TBD was obtained.Simulations show that RSalgorithm effectively increases particle diversity,and the detection and track of low detectable targets can beimplemented by using the SIRS-TBD algorithm.
【CateGory Index】: TN957.51
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