Research on Beampattern Synthesis of Conformal Array Based on Space-Variability Suppression

In order to solve the problem that the array beampattern varies greatly with the angle during spatial scanning, this paper presents a synthesis method of the conformal array beampattern based on "spatial-variability (SV)" suppression. In order to obtain a stable beampattern, the convex optimization method is used to solve the weighted value of the amplitude and phase of the elements under the condition of satisfying the set beam gain threshold so that the optimized main lobes of the beams with different directions approach the main lobe of the reference beam. Since beams of different dimensions have different broadening degrees after optimization, we weighted the objective function and solved the optimal weights by the golden section search method (GSM) to improve the comprehensive optimization results of two-dimensional beams. The simulation results demonstrate the effectiveness of the proposed method.

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Publication Details

Journal
Sensors
Published
2024-11-13
DOI
https://doi.org/10.3390/s24227239
Primary Topic
Antenna Design and Optimization
Type
article
Field-Weighted Citation Impact
0.00

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article

Research on Beampattern Synthesis of Conformal Array Based on Space-Variability Suppression

Minghai Pan, Sijia Liu
Sensors
Antenna Design and Optimization
article

Research on Beampattern Synthesis of Conformal Array Based on Space-Variability Suppression

Minghai Pan, Sijia Liu
article en

Abstract

In order to solve the problem that the array beampattern varies greatly with the angle during spatial scanning, this paper presents a synthesis method of the conformal array beampattern based on "spatial-variability (SV)" suppression. In order to obtain a stable beampattern, the convex optimization method is used to solve the weighted value of the amplitude and phase of the elements under the condition of satisfying the set beam gain threshold so that the optimized main lobes of the beams with different directions approach the main lobe of the reference beam. Since beams of different dimensions have different broadening degrees after optimization, we weighted the objective function and solved the optimal weights by the golden section search method (GSM) to improve the comprehensive optimization results of two-dimensional beams. The simulation results demonstrate the effectiveness of the proposed method.

SensorsVol. 24(22)
Nanjing University of Aeronautics and Astronautics (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 68%
Antenna Design and Optimization
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