TY - GEN
T1 - A Novel Multi-Objective Maxwell's Equations Derived Optimization Algorithm and Application in Sparse Antenna Array Synthesis
AU - Zhang, Haoyang
AU - Zhang, Xin
AU - Wang, Tong
AU - Li, Lilin
AU - Su, Donglin
N1 - Publisher Copyright:
© 2025 IEEE.
PY - 2025
Y1 - 2025
N2 - Planar sparse array synthesis plays a critical role in modern radar and wireless communication systems. However, it remains challenging to simultaneously minimize the number of antenna elements while maintaining a low peak sidelobe level. Inspired by typical electromagnetic compatibility (EMC) phenomena, we previously developed the Maxwell's Equations Derived Optimization (MEDO) algorithm, which enables accurate and robust solutions for complex electromagnetic optimization problems. In this paper, we extend MEDO to a multi-objective version (MO-MEDO), by incorporating non-dominated sorting with elitism and an external archive mechanism for Pareto front preservation. The proposed MO-MEDO algorithm exhibits excellent performance in sparse planar array synthesis, effectively achieving a favorable trade-off between array sparsity and sidelobe suppression.
AB - Planar sparse array synthesis plays a critical role in modern radar and wireless communication systems. However, it remains challenging to simultaneously minimize the number of antenna elements while maintaining a low peak sidelobe level. Inspired by typical electromagnetic compatibility (EMC) phenomena, we previously developed the Maxwell's Equations Derived Optimization (MEDO) algorithm, which enables accurate and robust solutions for complex electromagnetic optimization problems. In this paper, we extend MEDO to a multi-objective version (MO-MEDO), by incorporating non-dominated sorting with elitism and an external archive mechanism for Pareto front preservation. The proposed MO-MEDO algorithm exhibits excellent performance in sparse planar array synthesis, effectively achieving a favorable trade-off between array sparsity and sidelobe suppression.
KW - Maxwell's Equations Derived Optimization (MEDO)
KW - multi-objective optimization
KW - sparse plane array
UR - https://www.scopus.com/pages/publications/105034011487
U2 - 10.1109/APMC65046.2025.11379190
DO - 10.1109/APMC65046.2025.11379190
M3 - 会议稿件
AN - SCOPUS:105034011487
T3 - Asia-Pacific Microwave Conference Proceedings, APMC
BT - APMC 2025 - 2025 Asia-Pacific Microwave Conference
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2025 Asia-Pacific Microwave Conference, APMC 2025
Y2 - 2 December 2025 through 5 December 2025
ER -