DOA Estimation of Underwater Acoustic Signals Using Non-uniform Linear Arrays

Doan, Van‐Sang; Tran, Trang Cong; Nguyen, Van Khanh

doi:10.1007/978-3-030-05873-9_9

“…In Ref. [16], Van et al used a sparse array in underwater acoustic DOA estimation and combined it with MUSIC algorithm to improve the accuracy of underwater DOA estimation. In references [17,18,19], researchers realized two-dimensional DOA estimation by taking advantage of the special geometric properties of the L-shaped or the parallel arrays.…”

Section: Introductionmentioning

confidence: 99%

A Velocity-independent DOA Estimator of Underwater Acoustic Signals via an Arbitrary Cross-linear Nested Array

Ning

¹

,

Wang

²

,

Jing

³

et al. 2022

Circuits Syst Signal Process

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In this paper, an estimator for underwater DOA estimation is proposed by using a cross-linear nested array with arbitrary cross angle. The estimator excludes the variation acoustic velocity by deriving the geometric relation of the cross-linear array on the proposed algorithm. Therefore, compared with traditional DOA estimation algorithms via linear array, this estimator eliminates systematic errors caused by the uncertainty factor of the acoustic velocity in the underwater environment. Compared with the traditional acoustic velocity independent algorithm, this estimator uses the nested array and improves the performance of DOA estimation. In addition, the estimator is based on arbitrary angle of the cross-linear array, so it is more flexible in practical applications. Numerical simulations are provided to validate the analytical derivations and corroborate the improved performance in underwater environments where the actual acoustic velocity is not accurate.

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DOA Estimation of Two Correlated Signals Using Covariance Matrix Transformation

Doan¹,

Kim

²

2019

2019 International Conference on Information and Communication Technology Convergence (ICTC)

0

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A Velocity-Independent DOA Estimator of Underwater Acoustic Signals Via An Arbitrary Cross-Linear Nested Array

Ning

¹

,

Wang

²

,

Jing

³

et al. 2021

Preprint

0

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In this paper, an estimator for underwater DOA estimation is proposed by using a cross-linear nested array with arbitrary cross angle. The estimator excludes the variation acoustic velocity by deriving the geometric relation of the cross-linear array on the proposed algorithm. Therefore, compared with traditional DOA estimation algorithms via linear array, this estimator eliminates systematic errors caused by the uncertainty factor of the acoustic velocity in the underwater environment. Compared with the traditional acoustic velocity independent algorithm, this estimator uses the nested array and improves the performance of DOA estimation. In addition, the estimator is based on arbitrary angle of the cross-linear array, so it is more flexible in practical applications. Numerical simulations are provided to validate the analytical derivations and corroborate the improved performance in underwater environments where the actual acoustic velocity is not accurate.

show abstract

DOA Estimation of Underwater Acoustic Signals Using Non-uniform Linear Arrays

Cited by 3 publications

References 5 publications

A Velocity-independent DOA Estimator of Underwater Acoustic Signals via an Arbitrary Cross-linear Nested Array

A Velocity-independent DOA Estimator of Underwater Acoustic Signals via an Arbitrary Cross-linear Nested Array

DOA Estimation of Two Correlated Signals Using Covariance Matrix Transformation

A Velocity-Independent DOA Estimator of Underwater Acoustic Signals Via An Arbitrary Cross-Linear Nested Array

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