Array Optimization for MIMO Radar by Genetic Algorithms

In this paper, technique for the array optimization of multiple-input multiple-output (MIMO) radar is investigated. The primacy focus of this study is improved two-way pattern performance of MIMO radar. Genetic algorithms (GA) is applied to the array optimization in order to reduce the peaks of side lobes (PSL) by acting on the elements positions. By using the property that the two-way pattern of MIMO radar equals to the product of the transmitting and receiving beam patterns, the computational complexity of algorithms in this paper is significantly decreased. For MIMO radar system with separate transmitting and receiving arrays, and both of them are composed of 25-element with an overall aperture of 50lambda (lambda being the wavelength), the two-way pattern obtained in this paper with PSL do not exceed -28.65 dB, which meets the requirement of project applications.