The Array Configuration Optimization of Phased Array Radar with ADBF in Electronic Countermeasure Environment
电子对抗环境下ADBF相控阵雷达的阵列结构优化

The phased array radar with adaptive digital beamforming usually adopts subarray configuration. Subarray configuration has obvious influence on system performance, therefore the optimal subarray division has important significance in both theoretics and applications. Based on Multi-Objective Evolutionary Algorithm(MOEA), the subarray configuration is optimized to obtain anti-jamming performance and sidelobe level of patterns of sum and difference beam in case of mainlobe jamming as good as possible. The sidelobe level of adaptive pattern of sum beam, output SINR and sidelobe level of difference beam are taken as optimized objectives, and five objective functions are constructed. The encoding for subarray configuration used in MOEA are proposed. Simulation results of that an planar array is segmented into 64 subarrays by using MOEA based on Pareto rank sorting demonstrate that, a variety of performances of system are improved at the same time.