Sparse Antenna Array Design for MIMO Radar Using Multiobjective Differential Evolution

作者：Chen, Zhi-Kun; Yan, Feng-Gang; Qiao, Xiao-Lin^*; Zhao, Yi-Nan

来源：International Journal of Antennas and Propagation, 2016, 2016: 1747843.

DOI：10.1155/2016/1747843

• Beam pattern synthesis
• Differential evolution algorithms
• Multi-objective differential evolution algorithms
• Multi-objective differential evolutions
• Multi-objective optimization problem
• Multiple input multiple output (MIMO) radars
• Optimization problems
• State-of-the-art methods

A two-stage design approach is proposed to address the sparse antenna array design for multiple-input multiple-output radar. In the first stage, the cyclic algorithm (CA) is used to establish a covariance matrix that satisfies the beam pattern approximation for a full array. In the second stage, a sparse antenna array with a beam pattern is designed to approximate the desired beam pattern. This paper focuses on the second stage. The optimization problem for the sparse antenna array design aimed at beam pattern synthesis is formulated, where the peak side lobe (PSL) is weakly constrained by the mean squared error. To solve this optimization problem, the differential evolution (DE) algorithm with multistrategy is introduced and PSL suppression is treated as an inequality constraint. However, in doing so, a new multiobjective optimization problem is created. To address this new problem, a multiobjective differential evolution algorithm based on Pareto technique is proposed. Numerical examples are provided to demonstrate the advantages of the proposed approach over state-of-the-art methods, including DE and genetic algorithm.

• 出版日期2016
• 单位哈尔滨工业大学