volume | PIER Journals

2025-07-17

Research on Random Phase Feeding Optimization and Sidelobe Suppression in Phased Arrays Based on Dynamic SFLA

Li Wang,

Dr. Li Wang

School of Physical Education

Gannan Normal University

China

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Qiusheng Li

Professor Qiusheng Li

School of Physics and Electronic Information

Gannan Normal University

China

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Progress In Electromagnetics Research C, Vol. 157, 207-213, 2025

doi:10.2528/PIERC25052601 | Google Scholar

Abstract

To address the challenge of balancing sidelobe suppression and computational efficiency in phased array random phase feeding optimization, this paper proposes a multi-objective collaborative optimization scheme based on the Dynamic Shuffled Frog Leaping Algorithm (DSFLA). By establishing a hardware-compatible binary encoding model for phase quantization errors and introducing sidelobe variance constraints, the method achieves joint optimization of peak sidelobe level (PSLL) and beam pattern flatness. Simulation results demonstrate: For 32-element Taylor-weighted arrays, optimized PSLL reaches -28.6 dB (8.8 dB improvement vs. initial) with sidelobe variance reduced from 3.5 dB² to 1.2 dB²; For Chebyshev-weighted arrays, PSLL achieves -31.2 dB. The algorithm maintains robust performance under practical imperfections including element spacing perturbations (0.02λ RMS error) where PSLL stabilizes at -27.3 dB (σ=0.9 dB), and phase quantization errors (5° RMS) yielding -27.9 dB PSLL. DSFLA significantly outperforms conventional methods - reducing convergence generations from 276 to 28 and computation time by 29.2% (85 s) versus ant colony optimization while demonstrating O(N^1.5) scalability to 128-element arrays (PSLL=-32.1 dB in 218 sec). Real-time operation is feasible with PSLL=-27 dB achievable in ≤40 ms, meeting 50 ms radar beam-switching deadlines. This approach provides a practical solution for real-time beam control in high-precision phased array radar systems.

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Li Wang, and Qiusheng Li, "Research on Random Phase Feeding Optimization and Sidelobe Suppression in Phased Arrays Based on Dynamic SFLA," Progress In Electromagnetics Research C, Vol. 157, 207-213, 2025.
doi:10.2528/PIERC25052601

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