Highly Robust Adaptive Beamforming Algorithm in Satellite Communications

ZHANG Jie; XU Houdong; WANG Hai; HE Hongxing; LI li; FU Ning; TU Bin

doi:10.3969/j.issn.0258-2724.20210744

Volume 59 Issue 3

Jun. 2024

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Journal of Southwest Jiaotong University > 2024 > 59(3): 556-563.

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ZHANG Jie, XU Houdong, WANG Hai, HE Hongxing, LI li, FU Ning, TU Bin. Highly Robust Adaptive Beamforming Algorithm in Satellite Communications[J]. Journal of Southwest Jiaotong University, 2024, 59(3): 556-563. doi: 10.3969/j.issn.0258-2724.20210744

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Highly Robust Adaptive Beamforming Algorithm in Satellite Communications

doi: 10.3969/j.issn.0258-2724.20210744

ZHANG Jie^1
,,
XU Houdong²,
WANG Hai¹,
HE Hongxing³,
LI li^{3
,
,},
FU Ning⁴,
TU Bin⁵

1.
State Grid Sichuan Electric Research Institute, Chengdu 610041, China
2.
State Grid Sichuan Electric Power Company, Chengdu 610041, China
3.
School of Information Science and Technology, Southwest Jiaotong University, Chengdu 611756, China
4.
State Grid Shenwang LBS (Beijing) Co., Ltd., Beijing 102211, China
5.
State Grid Yaan Electric Power Supply Company, Yaan 625000, China

Received Date: 16 Sep 2021
Rev Recd Date: 04 Jan 2022

Available Online: 17 Apr 2024

Publish Date: 01 Apr 2022

Abstract

Abstract

In satellite communications, leveraging adaptive beamforming technology can significantly improve the anti-jamming ability of navigation receivers. However, conventional adaptive beamforming algorithms are sensitive to model mismatch. In order to overcome the performance degradation of conventional adaptive beamforming algorithms arising from both the steering vector mismatch of the desired signal and the covariance matrix mismatch, a new robust adaptive beamforming algorithm is proposed. Firstly, the signal-to-noise ratio (SNR) of the desired signal is estimated. Then, the projection matrix is constructed with the estimated SNR to further predict the steering vectors of the desired signal and those of the interferences. Next, the steering vectors of the desired signal and the interferences are corrected by using the uncertainty-set optimization method. Finally, the signal power is estimated and the interference-plus-noise covariance matrix is reconstructed. The simulation results show that, compared with the beamforming algorithm that requires covariance matrix reconstruction, the proposed algorithm achieves a better output signal to interference and noise ratio (SINR) performance. When SNR is 10.0 dB and signal direction of arrival (DOA) mismatch occurs, the output SINR gain is about 1.9 dB; when wavefront distortion arises, the output SINR gain is about 1.5 dB; when coherent local scattering happens, the output SINR gain is about 1.6 dB.
- antenna array,
- beamforming,
- steering vector estimation,
- steering vector mismatch,
- Beidou communication

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References(18)

References

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