2021 IEEE International Conference on Acoustics, Speech and Signal Processing

6-11 June 2021 • Toronto, Ontario, Canada

Extracting Knowledge from Information

2021 IEEE International Conference on Acoustics, Speech and Signal Processing

6-11 June 2021 • Toronto, Ontario, Canada

Extracting Knowledge from Information
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Paper Detail

Paper IDSAM-10.2
Paper Title TCLA ARRAY: A NEW SPARSE ARRAY DESIGN WITH LESS MUTUAL COUPLING
Authors Ahmed M. A. Shaalan, Jun Du, Yanhui Tu, University of Science and Technology of China, China
SessionSAM-10: Sparse Array Design and Processing
LocationGather.Town
Session Time:Friday, 11 June, 13:00 - 13:45
Presentation Time:Friday, 11 June, 13:00 - 13:45
Presentation Poster
Topic Sensor Array and Multichannel Signal Processing: [SAM-DOAE] Direction of arrival estimation and source localization
IEEE Xplore Open Preview  Click here to view in IEEE Xplore
Abstract The recent criteria of a preferable linear sparse array for a robust direction of arrival (DOA) estimation are the closed-form expression for its sensor locations, the large central uniform linear array (ULA) segment in its resulting co-array and the fewer sensor pairs with small separations in its configuration. This paper aims to introduce a new proposed sparse array that takes into account all these considerations. The new sparse array configuration is proposed based on utilizing the two coordinates of a linear axis (TCLA) to situate its sub-arrays. Compared to the (super) nested array having the same sensor number, the TCLA array owns the same number of uniform degrees of freedom (DOFs) but possesses less mutual coupling effects. These properties are quantitatively covered, and numerical simulations are included to demonstrate the superior performance of the proposed array.