An Optimization Method of MIMO Radar Array Based on Genetic Algorithm

XIN-RUI QIN, WEI-DONG JIANG

Abstract


Since the traditional radar imaging takes too much time, it is necessary to find new imaging radar which can image fast and conserve resources. MIMO radar has waveform diversity or spatial diversity. So it can realize high resolution snapshot imaging under the same condition. However, the imaging performance of MIMO radar is tightly related to the antenna array design. This paper proposes a MIMO array optimization method based on the genetic algorithm (GA). The GA is used to directly calculate the position of the transceiver element and at meantime the fitness function based on MIMO array design is proposed. Experiments show that this method not only can reduce the number of array elements, but also has certain optimization ability in beam pattern performance

Keywords


MIMO radar, Sparse nested array, Genetic algorithm, Beam patternText


DOI
10.12783/dteees/peems2019/33999

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