Spatial-polarized Joint Beamforming with Mainlobe Shape-preserving for Satellite Communication

In Low Earth Orbit (LEO) satellite communication systems, the satellite’s payload achieves coverage of terrestrial users by generating a series of shaped beam patterns with uniform signal distribution. In the case of multiple mainlobe interference, conventional adaptive beamforming will suffer from mainlobe distortion problem, which will degrade the communication performance. A spatial-polarized domain joint adaptive beamforming method with mainlobe shape-preserving is proposed to simultaneously suppress multiple mainlobe and sidelobe interference. The simulation results demonstrate that the proposed method exhibits superior mainlobe shape-preserving ability and achieves a higher output signal-to-interference-plus-noise ratio (SINR) compared to previously established techniques.

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Publication Details

Published
2024-09-22
DOI
https://doi.org/10.1109/apcap62011.2024.10881331
Primary Topic
Antenna Design and Optimization
Type
article
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Spatial-polarized Joint Beamforming with Mainlobe Shape-preserving for Satellite Communication

Shuang Qiu, Weixing Sheng, Xiaobao Xu
Antenna Design and Optimization
article

Spatial-polarized Joint Beamforming with Mainlobe Shape-preserving for Satellite Communication

Shuang Qiu, Weixing Sheng, Xiaobao Xu
article en

Abstract

In Low Earth Orbit (LEO) satellite communication systems, the satellite’s payload achieves coverage of terrestrial users by generating a series of shaped beam patterns with uniform signal distribution. In the case of multiple mainlobe interference, conventional adaptive beamforming will suffer from mainlobe distortion problem, which will degrade the communication performance. A spatial-polarized domain joint adaptive beamforming method with mainlobe shape-preserving is proposed to simultaneously suppress multiple mainlobe and sidelobe interference. The simulation results demonstrate that the proposed method exhibits superior mainlobe shape-preserving ability and achieves a higher output signal-to-interference-plus-noise ratio (SINR) compared to previously established techniques.

Nanjing University of Science and Technology (CN)
Openalex Percentile: Top 54%
Antenna Design and Optimization
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