Compressive sampling based MVDR spectrum sensing

Ying Wang, Ashish Pandharipande, Geert Leus

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

14 Citations (Scopus)

Abstract

We propose a compressive sampling (CS) based MVDR spectrum estimator, which estimates the wideband spectrum from the compressed signals with sub-Nyquist-rate sampling. To analyze detection performance, we derive the statistics of the estimated CS MVDR spectrum considering finite samples. We also show that different compression matrices produce different levels of signal leakage and influence the computation of detection thresholds.

Original languageEnglish
Title of host publication2010 2nd International Workshop on Cognitive Information Processing, CIP2010
PublisherInstitute of Electrical and Electronics Engineers
Pages333-337
Number of pages5
ISBN (Electronic)978-1-4244-6459-3
ISBN (Print)978-1-4244-6457-9
DOIs
Publication statusPublished - 2010
Externally publishedYes
Event2010 2nd International Workshop on Cognitive Information Processing, CIP2010 - Elba Island, Italy
Duration: 14 Jun 201016 Jun 2010

Conference

Conference2010 2nd International Workshop on Cognitive Information Processing, CIP2010
Country/TerritoryItaly
CityElba Island
Period14/06/1016/06/10

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