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Two-dimensional noisy autoregressive estimation with application to joint frequency and direction of arrival estimation

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Abstract

The present study addresses the problem of two-dimensional autoregressive estimation in the presence of additive white noise. The estimation method is based on combining the low-order and high-order Yule-Walker equations. The noise-compensated YW equations are solved using an iterative algorithm. The proposed method is also applied to joint frequency and direction of arrival estimation in uniform linear arrays. Using simulation study, the performance of the proposed algorithm is evaluated and compared with other methods.

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Authors and Affiliations

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

    Alireza Amanat & Alimorad Mahmoudi

  2. Iranian Space Research Center, Mechanic Institute, Shiraz, Iran

    Majid Hatam

Authors
  1. Alireza Amanat
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  2. Alimorad Mahmoudi
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  3. Majid Hatam
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Correspondence to Alimorad Mahmoudi.

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Amanat, A., Mahmoudi, A. & Hatam, M. Two-dimensional noisy autoregressive estimation with application to joint frequency and direction of arrival estimation. Multidim Syst Sign Process 29, 671–685 (2018). https://doi.org/10.1007/s11045-017-0539-z

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  • DOI: https://doi.org/10.1007/s11045-017-0539-z

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