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Direction of arrival estimation based on modified fast off‐grid L1‐SVD
by
Wu, Xiaohuan
, Xu, Xiangjun
, Wu, Di
, Zhu, Daiyin
, Shen, Mingwei
in
Accuracy
/ Algebra
/ Algorithms
/ Approximation
/ Direction of arrival
/ Methods
/ Signal processing
/ Signal processing and detection
/ Signal processing theory
/ Sparsity
/ Steering
/ Taylor series
2022
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Direction of arrival estimation based on modified fast off‐grid L1‐SVD
by
Wu, Xiaohuan
, Xu, Xiangjun
, Wu, Di
, Zhu, Daiyin
, Shen, Mingwei
in
Accuracy
/ Algebra
/ Algorithms
/ Approximation
/ Direction of arrival
/ Methods
/ Signal processing
/ Signal processing and detection
/ Signal processing theory
/ Sparsity
/ Steering
/ Taylor series
2022
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Do you wish to request the book?
Direction of arrival estimation based on modified fast off‐grid L1‐SVD
by
Wu, Xiaohuan
, Xu, Xiangjun
, Wu, Di
, Zhu, Daiyin
, Shen, Mingwei
in
Accuracy
/ Algebra
/ Algorithms
/ Approximation
/ Direction of arrival
/ Methods
/ Signal processing
/ Signal processing and detection
/ Signal processing theory
/ Sparsity
/ Steering
/ Taylor series
2022
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Direction of arrival estimation based on modified fast off‐grid L1‐SVD
Journal Article
Direction of arrival estimation based on modified fast off‐grid L1‐SVD
2022
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Overview
This paper proposes a modified fast off‐grid L1‐SVD (M‐FOGL1SVD) method for direction of arrival (DOA) estimation. Unlike FOGL1SVD, after obtaining the positions of the nonzero rows of the signal sources, the off‐grid overcomplete basis matrix is used to update the signal sources, thus improving the estimation accuracy of it. In addition, to reduce the approximate error of the first‐order off‐grid model, a second‐order off‐grid model is introduced through a further Taylor expansion of the steering vector. Finally, the formula for solving the off‐grid gap under the novel model is derived. Extensive simulation results indicate that the proposed algorithm has better performance than FOGL1SVD in terms of DOA estimation precision.
Publisher
John Wiley & Sons, Inc,Wiley
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