Design of an Aperiodic Optical Phased Array Based on the Multi-Strategy Enhanced Particle Swarm Optimization Algorithm

• Published in: Photonics Vol. 12; no. 3; p. 210
• Main Authors: Zang, Zhuangzhuang, Wu, Junjie, Huang, Qingzhong
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.03.2025
• Subjects: Algorithms; antenna spacing distribution optimization; Antennas; Antennas (Electronics); Arrays; Design optimization; enhanced particle swarm optimization algorithm; Lasers; Mathematical models; Mathematical optimization; Numerical analysis; optical phased array; Optimization algorithms; Particle swarm optimization; peak side-lobe level; Phased arrays; Scanning; Simulation; Steering
• ISSN: 2304-6732; 2304-6732
• DOI: 10.3390/photonics12030210

We have proposed a multi-strategy enhanced particle swarm optimization (PSO) algorithm to optimize the antenna spacing distribution of an optical phased array (OPA). The global search capability is improved by incorporating circle chaotic mapping initialization and an updated strategy based on adaptive inertia weights and dynamic learning factors. We used the peak side-lobe level (PSLL) at different steering angles as the fitness function, which effectively suppresses the rapid degradation of PSLL during scanning. Based on this approach, 32- and 64-channel aperiodic OPAs were designed with a scanning range of ±60°, with improvements of the PSLL of 1.94 and 2.05 dB at 60°, respectively. In addition, the analytical and numerical simulation results are in good agreement. We also analyzed the influence of spacing deviations on PSLL and found that the obtained OPAs exhibit sufficient robustness.