Wide-Angle Scanning Thinned Phased Array Synthesis Based on Improved Multiobjective Beluga Whale Optimization Algorithm
Yuqing Zheng, Chang Jiang You, Naibo Zhang, Xueyong Zhu, Yufeng Ding, Hao He
Abstract
This letter proposes an algorithm that combines the improved multiobjective beluga whale optimization algorithm with the iterative Fourier transform (IFT) technique to optimize the sidelobe level (SLL) and directivity of the phased array. The algorithm is derived from the traditional beluga whale optimization algorithm, based on the framework of multiobjective optimization. By improving the traditional algorithm and combining with IFT technology and opposition-based learning strategy, the population diversity is enhanced, and the optimization ability of the algorithm is improved. By optimizing the array layout, the proposed method can effectively synthesize thinned planar phased arrays with low SLL and nondegraded directivity. Some specific examples are provided to confirm the effectiveness of the proposed method.