A Sparse Circular Array Method Based on Combination of Two Modified Algorithms

Circular arrays are widely used,because they have wide scannig range,flexible beam position controlling,stable antenna gain characteristics,and so on.But their sidelobe levels are relatively high compared with the mainlobe leve1.In order to minimize sidelobe levels as much as possible,we apply the modified genetic algorithm(GA),the modified differential evolutionary algorithm(DE),and the combination of both,taking the angle subtraction as the chromosome gene,and carry at arranging the array size,the number of array elements and the minimum elements spacing of sparse optimized array with the advantages of reduced search region and enhanced search efficiency.Simulation results show this the method may enhance the convergence rate and reduce the circular array sidelobe levels effectively.