Aerial Acoustic Targeting Orientation Estimation Based on Deconvolved Conventional Beamforming

Yi, Heng; Chen, Yong; Huang, Jianhua

doi:10.1109/icspcc59353.2023.10400361

2023 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC) 2023

DOI: 10.1109/icspcc59353.2023.10400361

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Aerial Acoustic Targeting Orientation Estimation Based on Deconvolved Conventional Beamforming

Heng Yi,

Yong Chen,

Jianhua Huang

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2024

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Cited by 1 publication

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PRWSF-ABSBL: a fast direction of arrival estimation method based on sparse Bayesian learning and partial relaxation approach

Liu,

Pan,

Wang

2024

Third International Conference on Electronic Information Engineering and Data Processing (EIEDP 2024)

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This paper addresses the issue of slow convergence in direction of arrival (DOA) estimation algorithms based on sparse Bayesian learning (SBL). An innovative approach is proposed, termed PRWSF-ABSBL, which combines the Partial Relaxation (PR) method with SBL. This algorithm initializes the hyperparameters of the adaptive bow SBL (ABSBL) algorithm using the spatial spectrum and noise variance estimated by the Partially-Relaxed Weighted Subspace Fitting (PR-WSF) algorithm, enabling ABSBL to improve speed of convergence after a significantly reduced number of iterations. The numerical simulations and experimental data processing results have shown that the PRWSF-ABSBL demonstrates superior performance in the detection of weak targets and enhancement of discrimination between port and starboard sides during turns. Furthermore, its computational efficiency significantly outperforms other SBL-based algorithms.

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PRWSF-ABSBL: a fast direction of arrival estimation method based on sparse Bayesian learning and partial relaxation approach

Liu,

Pan,

Wang

2024

Third International Conference on Electronic Information Engineering and Data Processing (EIEDP 2024)

View full text Add to dashboard Cite

show abstract

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Aerial Acoustic Targeting Orientation Estimation Based on Deconvolved Conventional Beamforming

Cited by 1 publication

References 16 publications

PRWSF-ABSBL: a fast direction of arrival estimation method based on sparse Bayesian learning and partial relaxation approach

PRWSF-ABSBL: a fast direction of arrival estimation method based on sparse Bayesian learning and partial relaxation approach

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