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

Technical Program

Paper Detail

Paper IDSAM-10.3
Paper Title LOW MUTUAL COUPLING SPARSE ARRAY DESIGN USING ULA FITTING
Authors Wanlu Shi, Yingsong Li, Harbin Engineering University, China; Sergiy A. Vorobyov, Aalto University, Finland
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-CSSM] Compressed sensing and sparse modeling
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Abstract In this paper, a general sparse array (SA) design principle, called uniform linear array (ULA) fitting, is proposed. It uses concatenation of sub-ULAs to design SAs with feasible difference coarrays (DCAs). Motivation for the ULA fitting is that the nested array and coprime array are in fact the examples of concatenations of two sub-ULAs which provide good properties. The polynomial model is utilized to investigate the case when an SA is composed of multiple sub-ULAs. An example of SA designed via ULA fitting is presented, and it attests that the ULA fitting enables to design SAs with closedform expressions, low coupling leakage and long consecutive DCA.