Sparse spectral fitting for direction of arrival and power estimation

J. Zheng, M. Kaveh, H. Tsuji

Research output: Chapter in Book/Report/Conference proceedingConference contribution

30 Scopus citations

Abstract

In this paper, we present a sparse spatial spectrum estimation method which provides superresolution direction-finding performance and accurate signal power estimation simultaneously. Compressive sensing ideas are used in conjunction with a postulated model for the covariance matrix of the array output instead of the output itself. Following a preliminary analysis of the method and a geometric interpretation of the estimation process, simulation examples are presented to illustrate several performance characteristics of the technique.

Original languageEnglish (US)
Title of host publication2009 IEEE/SP 15th Workshop on Statistical Signal Processing, SSP '09
Pages429-432
Number of pages4
DOIs
StatePublished - Dec 25 2009
Event2009 IEEE/SP 15th Workshop on Statistical Signal Processing, SSP '09 - Cardiff, United Kingdom
Duration: Aug 31 2009Sep 3 2009

Publication series

NameIEEE Workshop on Statistical Signal Processing Proceedings

Other

Other2009 IEEE/SP 15th Workshop on Statistical Signal Processing, SSP '09
Country/TerritoryUnited Kingdom
CityCardiff
Period8/31/099/3/09

Keywords

  • Direction-finding
  • High-resolution
  • Power estimation
  • Sparsity

Fingerprint

Dive into the research topics of 'Sparse spectral fitting for direction of arrival and power estimation'. Together they form a unique fingerprint.

Cite this