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Direction–of–Arrival Estimation in Nonuniform Noise Fields: A Frisch Scheme Approach

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Advances in Systems Science

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 240))

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Abstract

This paper proposes a two-step identification procedure for the direction-of-arrival estimation problem in the presence of nonuniform white noise. The first step consists in estimating the unknown sensor noise variances by exploiting the properties of the Frisch scheme. Once that the noise covariance matrix has been identified, the angles of arrival are computed by using the classical ESPRIT algorithm. The effectiveness of the whole procedure is tested by means of Monte Carlo simulations.

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Author information

Authors and Affiliations

  1. DEI – Department of Electrical, Electronic and Information Engineering, Viale del Risorgimento 2, 40136, Bologna, Italy

    Roberto Diversi, Roberto Guidorzi & Umberto Soverini

Authors
  1. Roberto Diversi
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  2. Roberto Guidorzi
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  3. Umberto Soverini
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Corresponding author

Correspondence to Roberto Diversi .

Editor information

Editors and Affiliations

  1. Institute of Informatics, Wroclaw University of Technology, Wrocław, Poland

    Jerzy Swiątek

  2. Institute of Informatics, Wroclaw University of Technology, Wrocław, Poland

    Adam Grzech

  3. Institute of Informatics, Wroclaw University of Technology, Wrocław, Poland

    Paweł Swiątek

  4. Institute of Informatics, Wroclaw University of Technology, Wrocław, Poland

    Jakub M. Tomczak

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© 2014 Springer International Publishing Switzerland

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Diversi, R., Guidorzi, R., Soverini, U. (2014). Direction–of–Arrival Estimation in Nonuniform Noise Fields: A Frisch Scheme Approach. In: Swiątek, J., Grzech, A., Swiątek, P., Tomczak, J. (eds) Advances in Systems Science. Advances in Intelligent Systems and Computing, vol 240. Springer, Cham. https://doi.org/10.1007/978-3-319-01857-7_73

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  • DOI: https://doi.org/10.1007/978-3-319-01857-7_73

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-01856-0

  • Online ISBN: 978-3-319-01857-7

  • eBook Packages: EngineeringEngineering (R0)

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