A sparse circular arrays method based on modified genetic algorithm

Circular arrays are widely used because of their pattern characteristic,but their sidelobe levels are higher compared with the mainlobe leve1s.So this paper aims at the problem of rarefying circular arrays antenna modules to minimize sidelobe levels as much as possible, applys modified genetic algorithm, takes the angle subtraction as the chromosome gene, and then carries on arranging the certain array size, the certain number of array element and the certain minimum element spacing sparse optimization arrays with the advantages of reduced search region and enhanced search efficiency.The simulation results show that the method may enhance the convergence rate and reduce the circular arrays sidelobe levels effectively.