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• W4210366240 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." @default.
• W4210366240 created "2022-02-08" @default.
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• W4210366240 date "2021-12-01" @default.
• W4210366240 modified "2023-09-27" @default.
• W4210366240 title "A Novel PSO-Based Pattern Synthesis Method for Conformal Array with Dynamic Range Ratio Constraint" @default.
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• W4210366240 doi "https://doi.org/10.1109/globecom46510.2021.9685795" @default.
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