Directions-of-arrival estimation using a sparse spatial spectrum model with uncertainty

J. Zheng, M. Kaveh

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

21 Scopus citations

Abstract

This paper is concerned with the estimation of the directions-of-arrival (DOA) of narrowband sources using a sparse spatial spectral model, when the model itself is not precise. When the model uncertainty is limited to DOAs not belonging to the search grid, off-grid error linearization given in [1], and constraint relaxation are used to effect a convex problem. This approach is useful either in reducing the dimension through the use of coarser candidate DOA grid, or improving the performance of estimators that use dense grids. In addition, a particular diagonal loading approach is proposed to reduce the sensitivity of the estimator to the choice of its regularization parameter.

Original languageEnglish (US)
Title of host publication2011 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011 - Proceedings
Pages2848-2851
Number of pages4
DOIs
StatePublished - Aug 18 2011
Event36th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011 - Prague, Czech Republic
Duration: May 22 2011May 27 2011

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
ISSN (Print)1520-6149

Other

Other36th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011
CountryCzech Republic
CityPrague
Period5/22/115/27/11

Keywords

  • Diagonal Loading
  • Sparse Spectrum

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