Direction estimation using compressive sampling array processing

Ying Wang, Geert Leus, Ashish Pandharipande

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

140 Citaten (Scopus)

Samenvatting

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.

Originele taal-2Engels
Titel2009 IEEE/SP 15th Workshop on Statistical Signal Processing, SSP '09
UitgeverijInstitute of Electrical and Electronics Engineers
Pagina's626-629
Aantal pagina's4
ISBN van elektronische versie978-1-4244-2711-6
ISBN van geprinte versie978-1-4244-2709-3
DOI's
StatusGepubliceerd - 2009
Extern gepubliceerdJa
Evenement2009 IEEE/SP 15th Workshop on Statistical Signal Processing (SSP 2009) - Cardiff, Verenigd Koninkrijk
Duur: 31 aug. 20093 sep. 2009

Congres

Congres2009 IEEE/SP 15th Workshop on Statistical Signal Processing (SSP 2009)
Land/RegioVerenigd Koninkrijk
StadCardiff
Periode31/08/093/09/09

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