Super Augmented Nested Arrays: A New Sparse Array for Improved DOA Estimation Accuracy

The super augmented nested array (SANA) is a new sparse array (SA) proposed by expanding, changing the inter-element spacing (IES), and splitting the nested array (NA). The proposed SANA further enhances the sparsity of the NA to achieve lower mutual coupling (MC) and higher uniform degrees of freed...

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Bibliographic Details
Published inIEEE signal processing letters Vol. 31; pp. 26 - 30
Main Authors Wang, Xiuwen, Zhao, Lei, Jiang, Yuan Jiang
Format Journal Article
LanguageEnglish
Published New York IEEE 2024
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Array signal processing
Couplings
Direction of arrival
Direction-of-arrival estimation
DOA estimation
Estimation
Linear arrays
Manifolds
Mutual coupling
Sensor arrays
sparse arrays
super augmented nested array
uniform degrees of freedom
uniform linear array
Weighting functions
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Summary:The super augmented nested array (SANA) is a new sparse array (SA) proposed by expanding, changing the inter-element spacing (IES), and splitting the nested array (NA). The proposed SANA further enhances the sparsity of the NA to achieve lower mutual coupling (MC) and higher uniform degrees of freedom (uDOF) than the existing SAs. Specifically, the proposed SANA contains five uniform linear arrays (ULAs), and all sensor positions can be obtained from a closed-form expression. Moreover, the weight functions and achievable uDOF of the proposed SANA are analyzed in detail. It has been shown through simulations that SANA has a significant advantage over existing SAs for direction-of-arrival (DOA) estimation.
ISSN:1070-9908
1558-2361
DOI:10.1109/LSP.2023.3340599