Fast communication: Wideband DOA estimation from the sparse recovery perspective for the spatial-only modeling of array data

  • Authors:

  • Nan Hu;Dongyang Xu;Xu Xu;Zhongfu Ye

  • Affiliations:

  • National Engineering Laboratory for Speech and Language Information Processing and Institute of Statistical Signal Processing, Department of Electronic Engineering and Information Science, Univers ...;National Engineering Laboratory for Speech and Language Information Processing and Institute of Statistical Signal Processing, Department of Electronic Engineering and Information Science, Univers ...;National Engineering Laboratory for Speech and Language Information Processing and Institute of Statistical Signal Processing, Department of Electronic Engineering and Information Science, Univers ...;National Engineering Laboratory for Speech and Language Information Processing and Institute of Statistical Signal Processing, Department of Electronic Engineering and Information Science, Univers ...

  • Venue:
  • Signal Processing
  • Year:
  • 2012

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Abstract

This communication utilizes a sparse recovery technique named ''least absolute shrinkage and selection operator'' (LASSO) to formulate and solve the problem of direction-of-arrival (DOA) estimation for far-field wideband sources. The spatial-only modeling for wideband array output is employed when the sources have flat spectra, and the DOA estimation problem in this model can be transformed into a sparse recovery problem. Via the LASSO technique, an optimization problem is constructed and solved by second-order cone (SOC) programming to obtain the DOA estimates. Numerical simulations are also provided in contrast with those existing algorithms using the spatial-only model.