In order to improve the efficiency of the radar, the interacting multiple models-probability data association (IMMPDA) is modified in foundation, and a novel adaptive time resource scheduling (ATRS) algorithm for multi-target tracking is proposed based on grey relational grade and particle swarm optimization. First, the IMMPDA algorithm of target tracking is improved. Then different tracking accuracy is configured according to different targets respectively. During the particle optimization for obtaining the best sampling period and dwell time, the grey relational grade between the desired and estimated tracking accuracies is supposed to be the measurement function in the resource management model and the fitness value in the optimization process. Finally, the algorithm selects the target with the utmost urgency of being tracked as the one that will be tracked. Experimental results show that the proposed ATRS algorithm not only has a better tracking accuracy, but also saves time resource for the phased-array radar.
ZHANG Zhenkai, WANG Fei, ZHOU Jianjiang, LIU Weiqiang
. Adaptive Time Resource Scheduling for Multiple Target Tracking[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2011
, 32(3)
: 522
-530
.
DOI: CNKI:11-1929/V.20101111.0909.009m
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