Wide-Angle Scanning Thinned Phased Array Synthesis Based on Improved Multi-Objective Beluga Whale Optimization Algorithm

This letter proposes an algorithm that combines the improved multi-objective beluga whale optimization (IMOBWO) 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 multi-objective optimization. By improving the traditional algorithm and combining with IFT technology and oppositionbased 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.