Selective spectrum sensing: A new scheme for efficient spectrum sensing for EW and Cognitive Radio applications

Ryno Strauss Verster, Amit Kumar Mishra

Research output: Chapter in Book/Report/Conference proceedingConference Proceeding (Non-Journal item)

Abstract

One of the major challenges of electronic warfare (EW) systems is to sense a very wide spectrum in real time. In this paper we first of all show that the use of the recently proposed compressive sensing (CS) schemes reduces the load on acquisition for EW spectrum. Secondly we propose a modified CS scheme, which we call selective spectrum sensing, which is shown to further improve signal estimation for spectrum sensing. The proposed scheme leverage's on the a priori knowledge of the frequency bands of interest and is shown to perform efficiently under severe signal to noise ratio (SNR) conditions.

Original languageEnglish
Title of host publicationIEEE CONECCT 2014 - 2014 IEEE International Conference on Electronics, Computing and Communication Technologies
PublisherIEEE Press
Number of pages6
ISBN (Electronic)978-1-4799-2317-5
DOIs
Publication statusPublished - 16 Jan 2014
Externally publishedYes
Event2014 IEEE International Conference on Electronics, Computing and Communication Technologies, IEEE CONECCT 2014 - Bangalore, India
Duration: 06 Jan 201407 Jan 2014

Publication series

NameIEEE CONECCT 2014 - 2014 IEEE International Conference on Electronics, Computing and Communication Technologies

Conference

Conference2014 IEEE International Conference on Electronics, Computing and Communication Technologies, IEEE CONECCT 2014
Country/TerritoryIndia
CityBangalore
Period06 Jan 201407 Jan 2014

Keywords

  • Block Sparsity
  • Compressive Sensing
  • Electronic Warfare
  • spectrum

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