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SMALL-SIZE BROADBAND CODING METASURFACE FOR RCS REDUCTION BASED ON PARTICLE SWARM OPTIMIZATION ALGORITHM

By H. Hao, S. Du, and T. Zhang

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Abstract:
Radar cross section (RCS) reduction technology has great significance in stealth and other fields. A PSO-FSP algorithm is proposed based on the particle swarm optimization algorithm and the far-field scattering characteristics of coding metasurface to obtain the optimized coding sequence for RCS reduction. According to the principle of coding metamaterial, a 1 bit cell structure is designed. Therefore, a coding metasurface is constructed by arranging the unit cells based on the optimized coding sequence. Simulation results show that, in the case of vertical incidence, compared with metal plates of the same size, the metasurface can achieve more than 10 dB of RCS reduction within the broadband range from 15 GHz to 35 GHz, and the maximum reduction can reach 36 dB. The proposed coding metasurface has been successfully fabricated and measured, and there is a good agreement between simulated and measured results.

Citation:
H. Hao, S. Du, and T. Zhang, "Small-Size Broadband Coding Metasurface for RCS Reduction Based on Particle Swarm Optimization Algorithm," Progress In Electromagnetics Research M, Vol. 81, 97-105, 2019.
doi:10.2528/PIERM19040905

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