Synthesis of Low Sidelobe Pattern with Enhanced Axial Radiation for Sparse Conformal Arrays Based on MCDE Algorithm

• Published in: Electronics (Basel) Vol. 11; no. 22; p. 3679
• Main Authors: Zhang, Ning, Xue, Zhenghui, Zheng, Pei, Gao, Lu, Liu, Jiaqi
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.11.2022
• Subjects: Algorithms; Antenna arrays; Antennas; Arrays; Chemical synthesis; Design and construction; Evolutionary algorithms; Evolutionary computation; Genetic algorithms; Mathematical optimization; Multi-agent systems; Multiagent systems; Mutation; Neighborhoods; Optimization; Optimization algorithms; Radiation; Random variables; Reagents; Sidelobe reduction; Sidelobes; China
• ISSN: 2079-9292; 2079-9292
• DOI: 10.3390/electronics11223679

A hybrid optimization method for the synthesis of a sparse conformal array with the verification of a truncated cone antenna array is proposed in this manuscript. This array synthesis is studied aiming at enhancing axial radiation and reducing the peak sidelobe level (PSLL) by figuring out the optimal antenna element arrangement and corresponding feeding scheme. A multi-agent composite differential evolution (MCDE) algorithm is established by integrating a multi-agent system (MAS) with a differential evolution (DE) algorithm. In addition, a hybrid strategy method and a time-varying weighting factor are added to the mutation operator to accelerate convergence. Two examples of 64-element and 900-element truncated cone antenna arrays were synthesized. After forming a sparse antenna array out of the original full array, the number of antennas was decreased to 80% and 56.8%, respectively. The results show that the main beam of the sparse conformal antenna array is accurately fixed to the axial direction with the PSLL less than −20 dB at both the φ = 0° and φ = 90° planes, which proves the effectiveness of this method in conformal sparse array synthesis.