A Beamspace-Based Sparse Estimation Method for Array Signal
Authors: 
Rongfeng Li, Xiaonan Xu, Yanyan AnAuthors Info & Claims
AISS '22: Proceedings of the 4th International Conference on Advanced Information Science and System
Article No.: 26, Pages 1 - 5
Abstract
In this paper, the problem of direction of arrival (DOA) estimation with sparse methods for array processing is concerned with the observation domain aspect, and an estimation method named beamspace-based sparse (BSE) is proposed. In BSE method, the beam space energy of the array signal is observed and modeled as the weighted sum of the signal energy of each azimuth beam pattern sequences of the conventional beamforming (CBF). BSE constructs a solution architecture for joint -norm minimization and quadratic constraint linear programming (QCLP) of noise power. Based on the estimation of noise background power under Gaussian noise conditions, a parameter selection method is derived, which can be quickly solved by the convex programming method. BSE has higher azimuth resolution and a lower false alarm rate when compared to sparse estimation methods based on other observation domains. It also performs well in coherent environments.
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November 2022
396 pages
ISBN:9781450397933
DOI:10.1145/3573834
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Published: 17 January 2023
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AISS 2022
AISS 2022: 2022 4th International Conference on Advanced Information Science and System
November 25 - 27, 2022
Sanya, China
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