Direction estimation using compressive sampling array processing

Ying Wang, Geert Leus, Ashish Pandharipande

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

125 Citations (Scopus)

Abstract

We propose a new architecture, the compressive sampling (CS) array, for array based applications, by exploiting compressive sampling in the spatial domain. With random projections (or selections) of the array elements, we can transform a large size array into a small size array. We also propose two approaches of direction-of-arrival (DoA) estimation using our CS array, I. (joint) CS recovery, and II. CS beamformers. As a result we can greatly reduce the hardware complexity and software complexity while still maintaining the high resolution achieved as if a large size array were used.

Original languageEnglish
Title of host publication2009 IEEE/SP 15th Workshop on Statistical Signal Processing, SSP '09
PublisherInstitute of Electrical and Electronics Engineers
Pages626-629
Number of pages4
ISBN (Electronic)978-1-4244-2711-6
ISBN (Print)978-1-4244-2709-3
DOIs
Publication statusPublished - 2009
Externally publishedYes
Event2009 IEEE/SP 15th Workshop on Statistical Signal Processing (SSP 2009) - Cardiff, United Kingdom
Duration: 31 Aug 20093 Sep 2009

Conference

Conference2009 IEEE/SP 15th Workshop on Statistical Signal Processing (SSP 2009)
Country/TerritoryUnited Kingdom
CityCardiff
Period31/08/093/09/09

Keywords

  • Beamforming
  • Compressive sampling
  • Direction-of-arrival estimation

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