Barycenter Calibration of Spatial Spectra for Direction-of-Arrival Estimations Based on Capon/MUSIC Algorithms

Zhao, Baoyue; Yang, Yiran; Wang, Zhaoqi; Liu, Xiqing; Peng, Mugen; Jin, Yun

doi:10.1109/lwc.2023.3307159

IEEE Wireless Commun. Lett.

2023

DOI: 10.1109/lwc.2023.3307159

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Barycenter Calibration of Spatial Spectra for Direction-of-Arrival Estimations Based on Capon/MUSIC Algorithms

Baoyue Zhao,

Yiran Yang,

Zhaoqi Wang

et al.

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2024

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DOA Estimation of GNSS Signals Based on Deconvolved Conventional Beamforming

Wu,

Li,

Lin

et al. 2024

Remote Sensing

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The Direction of Arrival (DOA) parameter is a key parameter in directional channel modeling for GNSS systems and multipath suppression. However, achieving high-precision, low-complexity DOA estimation of multiple signal sources without requiring a known source number is still a challenge. This paper introduces a satellite navigation DOA parameter estimation method based on deconvolution beamforming. By exploiting the translational invariance property of the uniform linear array pattern, the deconvolution process is applied to the de-spread array pattern of satellite navigation signals, achieving high-precision estimation of DOA parameters. This method can achieve high-precision blind DOA estimation of multiple signal sources while significantly reducing the estimation complexity. Compared with traditional methods, precise DOA estimation can be achieved even in low-signal-to-noise-ratio conditions and with a small number of elements in the array. The theoretical analysis and simulation results verify the effectiveness of the proposed algorithm.

show abstract

DOA Estimation of GNSS Signals Based on Deconvolved Conventional Beamforming

Wu,

Li,

Lin

et al. 2024

Remote Sensing

View full text Add to dashboard Cite

show abstract

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Barycenter Calibration of Spatial Spectra for Direction-of-Arrival Estimations Based on Capon/MUSIC Algorithms

Cited by 1 publication

References 10 publications

DOA Estimation of GNSS Signals Based on Deconvolved Conventional Beamforming

DOA Estimation of GNSS Signals Based on Deconvolved Conventional Beamforming

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