Journal of Systems Engineering and Electronics ›› 2011, Vol. 22 ›› Issue (5): 760-766.doi: 10.3969/j.issn.1004-4132.2011.05.006

• DEFENCE ELECTRONICS TECHNOLOGY • Previous Articles     Next Articles

Multiple-target tracking with adaptive sampling intervals for phased-array radar

Zhenkai Zhang1,2, Jianjiang Zhou1,*, Fei Wang1, Weiqiang Liu1, and Hongbing Yang1   

  1. 1. College of Information Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, P. R. China;
    2. College of Electronic Information, Jiangsu University of Science and Technology, Zhenjiang 212003, P. R. China
  • Online:2011-10-28 Published:2010-01-03


A novel adaptive sampling interval algorithm for multitarget tracking is presented. This algorithm which is based on interacting multiple models incorporates the grey relational grade (GRG) into the particle swarm optimization (PSO). Firstly, the desired tracking accuracy is set for each target. Secondly, sampling intervals are selected as particles, and then the advantage of the GRG is taken as the measurement function for resource management. Meanwhile, the fitness value of the PSO is used to measure the difference between desired tracking accuracy and estimated tracking accuracy. Finally, it is suggested that the radar should track the target whose prediction value of the next sampling interval is the smallest. Simulations show that the proposed method improves both the tracking accuracy and tracking efficiency of the phased-array radar.