Optimizing Antenna Array Geometry in MIMO Radar Using Multiple Hybrid Genetic Algorithm

For the constraints of the aperture of transmitting and receiving arrays and the number of elements,the optimization of array pattern synthesis in orthogonal 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),an optimizing antenna array geometry method using multiple hybrid genetic algorithm(MHGA) which is combined with simulated annealing(SA) is proposed.To maximize the number of degrees of freedom,by introducing distance perturbations,both transmitting and receiving antennas array geometries are modified synchronously by the multiple genetic algorithm,with which the problem of pattern synthesis in orthogonal MIMO radar with lower relative sidelobe level and escaping the local minimum is solved effectively.Computer simulation results indicate the validity of the introduced methods.