Reduced rank TLS array interpolation for DOA estimation

Marco A.M. Marinho, Felix Antreich, João Paulo C.L. Da Costa, Josef A. Nossek

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

Important array signal processing techniques such as Spatial Smoothing, Forward Backward Averaging and Root- MUSIC require arrays with precise and specific geometries and responses. However, building sensor arrays with such demanding characteristics is not always possible. To deal with these possible limitations the real array response can be interpolated into the desired response applying array interpolation methods. In this work we study array interpolation methods for cases where the knowledge of the real array response is incomplete or contains errors. To address these imperfections a novel Total Least Squares (TLS) approach for calculating the transformation matrices is presented. Furthermore, a novel reduced rank regression approach is used to reduce the bias introduced by the transformation matrix onto the final direction of arrival (DOA) estimation.

Original languageEnglish
Title of host publicationWSA 2014; 18th International ITG Workshop on Smart Antennas
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9783800735846
StatePublished - 2014
Event18th International ITG Workshop on Smart Antennas, WSA 2014 - Erlangen, Germany
Duration: 12 Mar 201413 Mar 2014

Publication series

NameWSA 2014; 18th International ITG Workshop on Smart Antennas

Conference

Conference18th International ITG Workshop on Smart Antennas, WSA 2014
Country/TerritoryGermany
CityErlangen
Period12/03/1413/03/14

Keywords

  • Array interpolation
  • Array mapping
  • Reduced rank regression
  • Total least squares

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