Half-Inverted Array Design Scheme for Large Hole-Free Fourth-Order Difference Co-Arrays

Proceedings Paper Acoustics

HALF INVERTED NESTED ARRAYS WITH LARGE HOLE-FREE FOURTH-ORDER DIFFERENCE CO-ARRAYS

Yuan-Pon Chen et al.

Summary: This paper proposes a new design called half inverted nested array (HINA) that achieves a hole-free fourth-order difference co-array, improving the direction-of-arrival (DOA) estimation performance.

2022 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP) (2022)

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Article Engineering, Electrical & Electronic

The fourth-order difference co-array construction by expanding and shift nested array: Revisited and improved

Yan Zhou et al.

Summary: The proposed EAS-NA-NALS scheme with larger sensor spacing can achieve more degrees of freedom for direction of arrival estimation, outperforming other sparse arrays in terms of performance.

SIGNAL PROCESSING (2021)

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Article Engineering, Electrical & Electronic

On the Size and Redundancy of the Fourth-Order Difference Co-Array

Yuan-Pon Chen et al.

Summary: In array processing, the paper investigates the lower and upper bounds of the size of the fourth-order difference co-array, proving that the ULA and exponential array achieve these boundaries. Additionally, the concept of fourth-order redundancy is introduced to quantify the efficiency of the ULA segment in the fourth-order difference co-array, providing further insights into its size.

IEEE SIGNAL PROCESSING LETTERS (2021)

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Article Engineering, Electrical & Electronic

Sparse Symmetric Linear Arrays With Low Redundancy and a Contiguous Sum Co-Array

Robin Rajamaki et al.

Summary: Sparse arrays utilizing the co-array can handle more scatterers or sources than sensors. This paper introduces a symmetric array configuration suitable for both active and passive sensing, with analysis on contiguous sum and difference co-array conditions and comparison with existing array designs. The proposed Concatenated Nested Array and Klove Array achieve low redundancy and significantly increased resolution capabilities.

IEEE TRANSACTIONS ON SIGNAL PROCESSING (2021)

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Article Engineering, Electrical & Electronic

DOA Refinement Through Complex Parabolic Interpolation of a Sparse Recovered Signal

Luca Pallotta et al.

Summary: This letter explores a two-stage direction of arrival (DOA) scheme for radar systems, utilizing sparse recovery method and parabolic interpolation to enhance angle accuracy while keeping computational complexity fixed. Numerical results demonstrate improvement over the initial sparse recovery method.

IEEE SIGNAL PROCESSING LETTERS (2021)

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Proceedings Paper Acoustics