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《Journal of Data Acquisition and Processing》 2011-04
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Optimization of Antenna Array Geometry in MIMO Radar Based on Genetic Algorithm and Tabu Search

He Jie,Feng Dazheng,Li Xiaoming(Key Lab of Radar Signal Processing,Xidian University,Xi′an,710071,China)  
For the constraints of the number of elements and the limited apertures of transmitting and receiving arrays,the optimization of array pattern synthesis in multi-input multi-output(MIMO) radar where sparse arrays are used is presented.In order to lower the sidelobe level and to prevent the premature convergence of the genetic algorithm(GA),based on GA and tabu search (TS),an optimizing antenna array geometry method using two-layer optimaziton is proposed.To maximize the number of freedom degrees,by introducing distance perturbations,both transmitting and receiving antennas array geometries are modified twice synchronously by the proposed algorithm.The problem of pattern synthesis is solved in orthogonal MIMO radar with the lower relative sidelobe level,escaping the local minimum.Simulation results indicate that the method is effective.
【Fund】: 国家自然科学基金(609711111)资助项目
【CateGory Index】: TN957.2
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