Optimal Design Method for Sub-array Beamforming Based on an Improved Ant Lion Algorithm

Abstract

The sub-array division plays an important role in reducing the system complexity, computing complexity and hardware cost of large aperture phased array radar. The traditional sub-array partition method does not consider the suppression of side lobe and interference as well as the weight optimization of sub-array. In this paper, a sub-array-level pattern optimization design method based on improved ant lion algorithm is proposed. Firstly, the anti-collision factor and elimination mechanism are introduced into ant lion algorithm. Then, by constraining the total number of elements and sub-array, the appropriate number of elements and sub-array weight of each subarray are solved, and then the height of peak sidelobe and the depth of null are optimized. The simulation results show that this method has better effects in sub-array optimization, sidelobe reduction and zero depth reduction in comparision with other algrithems.