Abstract:
Particle swarm optimization (PSO) has received great attention for its ftexibility and brevity in conformal antenna array pattern synthesis (CAAPS). However, it also suff...View moreMetadata
Abstract:
Particle swarm optimization (PSO) has received great attention for its ftexibility and brevity in conformal antenna array pattern synthesis (CAAPS). However, it also suffers from local optimum and increased computational complexity. In this paper, a solution space pruning particle swarm optimization (SSP-PSO) dedicated to the CAAPS is proposed, which selectively optimizes the peak sidelobe level (PSLL) among the multiple optimization objectives and accordingly applies iterative fast Fourier transform (IFT) at the first stage, and then avoids ineffective search by accomplishing SSP on the basis of dynamic range ratio constraints and the element excitation that is obtained from the foregoing PSLL optimization. The simulation results verify the superiority of the proposed method in terms of both convergence accuracy and convergence speed.
Published in: 2021 IEEE Global Communications Conference (GLOBECOM)
Date of Conference: 07-11 December 2021
Date Added to IEEE Xplore: 02 February 2022
ISBN Information: