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Linear Prediction-Based DOA Estimator in Non-Uniform Noise

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Abstract

We study the DOA estimation problem in the presence of non-uniform white noise and propose a new method based on a linear prediction approach. The problem is first converted to the uniform noise case by averaging autocorrelations of the array output. The resulting equations can be seen as a quadratic eigenvalue problem, whose solution is the vector of DOA estimations. This new approach is iteration-free and has a low complexity. Simulation results show the effectiveness of the proposed algorithm.

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The manuscript has no associate data.

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Acknowledgements

This study was financially supported by the Research Council of Shahid Chamran University of Ahvaz (Grant Number: 97/3/02/26247).

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Authors and Affiliations

  1. Electrical Engineering Department, Faculty of Engineering, Shahid Chamran University of Ahvaz, Ahvaz, Iran

    Fateme Shafiee & Alimorad Mahmoudi

  2. Department of Automatic Control and Computers, University Politehnica of Bucharest, Bucharest, Romania

    Bogdan Dumitrescu

Authors
  1. Fateme Shafiee
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  2. Alimorad Mahmoudi
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  3. Bogdan Dumitrescu
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Correspondence to Alimorad Mahmoudi.

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Shafiee, F., Mahmoudi, A. & Dumitrescu, B. Linear Prediction-Based DOA Estimator in Non-Uniform Noise. Circuits Syst Signal Process 40, 2494–2506 (2021). https://doi.org/10.1007/s00034-020-01587-4

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