Finite multi-coset sampling and sparse arrays

Yuval Kochman*, Gregory W. Wornell

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Scopus citations

Abstract

Signals with sparse but otherwise unknown frequency content are well-represented by multi-coset samples, and efficient algorithms can be used to recover the underlying sparsity structure. While such sampling is usually analyzed over a sampling interval sufficiently large that edge effects can be ignored, in this work we develop how to take into account finite-window effects in system design. Such considerations are particularly important in the context of antenna arrays, and we analyze the associated redundancy. Additionally, we describe an efficient MIMO radar implementation of multi-coset arrays. As an example application of our results, we develop a natural two-stage architecture for direction-of-arrival estimation in sparse environments using a multi-coset array over the available aperture.

Original languageAmerican English
Title of host publication2011 Information Theory and Applications Workshop, ITA 2011 - Conference Proceedings
Pages460-466
Number of pages7
DOIs
StatePublished - 2011
Externally publishedYes
Event2011 Information Theory and Applications Workshop, ITA 2011 - San Diego, CA, United States
Duration: 6 Feb 201111 Feb 2011

Publication series

Name2011 Information Theory and Applications Workshop, ITA 2011 - Conference Proceedings

Conference

Conference2011 Information Theory and Applications Workshop, ITA 2011
Country/TerritoryUnited States
CitySan Diego, CA
Period6/02/1111/02/11

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