Further Results on the Zero Redundancy Sparse Arrays for DOA Estimation

It is known that the zero redundancy sparse arrays (ZRSA) explore the concept of sum and difference coarray (SDC). Both ZRSA-I and ZRSA-II are attractive options for the direction-of-arrival (DOA) estimation. The main property of these arrays is that they attempt to minimize the redundancy of lags between the sum coarray and the difference coarray. In this work, the performance of the ZRSA configurations is further improved in both degrees of freedom (DOF) and mutual coupling perspectives. In fact, the proposed arrays obtain the highest DOF among the state-of-the-art arrays. To perform that, the elements of ZRSA-II are shifted by a specific translation factor so that the overlapping of the sum coarray lags and the difference coarray lags further decrease. To reduce the mutual coupling, the elements of the array are placed in strategic locations. Simulation results validate the superiority of the proposed arrays over the other existing arrays.

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Publication Details

Journal
IEEE Signal Processing Letters
Published
2025-01-01
DOI
https://doi.org/10.1109/lsp.2025.3595069
Primary Topic
Speech and Audio Processing
Type
article
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article

Further Results on the Zero Redundancy Sparse Arrays for DOA Estimation

Anindya Sundar Dhar, Rajen Kumar Patra
IEEE Signal Processing Letters
Speech and Audio Processing
article

Further Results on the Zero Redundancy Sparse Arrays for DOA Estimation

Anindya Sundar Dhar, Rajen Kumar Patra
article en

Abstract

It is known that the zero redundancy sparse arrays (ZRSA) explore the concept of sum and difference coarray (SDC). Both ZRSA-I and ZRSA-II are attractive options for the direction-of-arrival (DOA) estimation. The main property of these arrays is that they attempt to minimize the redundancy of lags between the sum coarray and the difference coarray. In this work, the performance of the ZRSA configurations is further improved in both degrees of freedom (DOF) and mutual coupling perspectives. In fact, the proposed arrays obtain the highest DOF among the state-of-the-art arrays. To perform that, the elements of ZRSA-II are shifted by a specific translation factor so that the overlapping of the sum coarray lags and the difference coarray lags further decrease. To reduce the mutual coupling, the elements of the array are placed in strategic locations. Simulation results validate the superiority of the proposed arrays over the other existing arrays.

IEEE Signal Processing LettersVol. 32
Indian Institute of Technology Kharagpur (IN), Integrated Test Range (IN)
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Speech and Audio Processing
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