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Data-adaptive array interpolation for DOA estimation in correlated signal environments

Author

Summary, in English

Many popular direction-of-arrival (DOA) estimators rely on the fact that the array response vector of the array is Vandermonde, for example, that of a uniform linear array (ULA). Array interpolation is a preprocessing technique to transform the array response vector of a planar array of arbitrary geometry to that of a ULA over an angular sector. While good approximation within the target sector is attained with the various existing array interpolation approaches, the response of the interpolated array in the out-of-sector region is at best partially controlled. Accordingly, out-of-sector signals, especially those highly correlated with the in-sector signals, can degrade significantly the performance of DOA estimators that rely on the Vandermonde form to work correctly. Recently, we proposed an improved array interpolation approach that takes into account the array response over the full azimuth. In this paper, we develop the idea further and present a simple data-adaptive array interpolation scheme that can provide significantly better accuracy in the DOA estimates. We present examples to demonstrate the effectiveness of our proposal

Publishing year

2005

Language

English

Pages

945-948

Publication/Series

Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing

Document type

Conference paper

Publisher

IEEE - Institute of Electrical and Electronics Engineers Inc.

Topic

  • Electrical Engineering, Electronic Engineering, Information Engineering

Keywords

  • uniform linear array
  • ULA
  • DOA estimation
  • correlated signal environments
  • data-adaptive array interpolation
  • Vandermonde response vector
  • array response vector
  • direction-of-arrival estimators

Conference name

2005 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

Conference date

2005-03-18 - 2005-03-23

Conference place

Philadelphia, PA, United States

Status

Published

ISBN/ISSN/Other

  • ISBN: 0-7803-8874-7