Systems Engineering and Electronics ›› 2018, Vol. 40 ›› Issue (5): 1026-1030.doi: 10.3969/j.issn.1001-506X.2018.05.10

Previous Articles     Next Articles

Optimization of MIMO radar sparse array based on modified artificial bee colony

PANG Yucai, LIU Song   

  1. National Defense Information Engineering Technology Institute, Chongqing University of Post and Telecommunications, Chongqing 400065, China
  • Online:2018-04-28 Published:2018-04-24

PDF (PC)

Abstract:

To improve the performance of multiple input multiple output (MIMO) radar sparse arrays, a modified discrete artificial bee colony (ABC)  algorithm based on the cloud model is proposed for optimizing MIMO radar sparse arrays. First, ABC is modified by using the cloud model as a new selection scheme rather than roulette for a better nectar source. Due to randomness and stable tendency of the cloud model, the diversity of the population is maintained, and thus the disadvantage of ABC can be avoided, which results in a local optimum easily. Then, a new restriction is added to ensure a fixed number of array elements in the search process. Simulation results verify the effectiveness of the proposed method. Lower sidelobes are obtained while the width of the mainlobe is kept constant.

[an error occurred while processing this directive]