Underdetermined 2D DOA Estimation for Coherent Signals via Sparse Sensor Array With Nested Moving Sampling Scheme

In order to improve the performance of target localization based on multi-sensor system, this paper proposes a novel sparse acoustic vector sensor (AVS) array with nested moving sampling scheme, forunderdetermined two-dimensional (2D) direction of arrival (DOA) estimation of coherent target signals....

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Vydáno v:IEEE signal processing letters Ročník 32; s. 4034 - 4038
Hlavní autoři: Jiang, Guojun, Wang, Shaobo, Huang, Jiacheng, Yang, Xuguang, Yang, Yunlong
Médium: Journal Article
Jazyk:angličtina
Vydáno: New York IEEE 2025
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:
Acoustic arrays
acoustic vector sensor
Apertures
coherent signals
Correlation
Covariance matrices
Decorrelation
Degrees of freedom
Direction of arrival
Direction of arrival estimation
Estimation
nested moving sampling
Sampling
Sensor arrays
Smoothing methods
underdetermined scenario
Vectors
ISSN:1070-9908, 1558-2361
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Shrnutí:In order to improve the performance of target localization based on multi-sensor system, this paper proposes a novel sparse acoustic vector sensor (AVS) array with nested moving sampling scheme, forunderdetermined two-dimensional (2D) direction of arrival (DOA) estimation of coherent target signals. By exploiting the dense sampling of the nested sampling scheme, a synthetic array composed of the original and shifted sparse arrays, is achieved with increased degrees of freedom (DOF) and extended aperture. Based on it, the sparse sampling in the sampling scheme is applied to decorrelate the coherent signals, and then eigenstructure based methods are used for high-accuracy 2D DOA estimation in underdetermined scenario. The simulation results are given to demonstrate the effectiveness of the proposed method over the state-of-the-art techniques.
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ISSN:1070-9908
1558-2361
DOI:10.1109/LSP.2025.3621053