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CFAR Detection Performance in Weibull Clutter for Statistical MIMO Radar Using Fuzzy Fusion Rules

  • THEORY AND METHODS OF SIGNAL PROCESSING
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Abstract

Fuzzy fusion is a technique, which, by using fuzzy rules at the data fusion center, improves the detection performance. In this paper, we analyze the FCA-CFAR, FGO-CFAR and FSO-CFAR detectors in homogeneous and Non-Homogeneous Weibull background for statistical MIMO radars. The non-homogeneity is modeled by the presence of a clutter edge in the reference window. For each detector, we derive the membership function and compute the threshold at the data fusion center. We apply the “Maximum”, “Minimum”, “Algebraic Sum” and “Algebraic Product” fuzzy rules for MN nodes at the fusion center. The obtained results showed that the best performance is obtained by the ‘Algebraic Product’ fuzzy rule. In the clutter edge case, the FSO-CFAR has the best false alarm rate control when the test cell is in the low level clutter, while when the test cell is in the high level clutter the FGO-CFAR performs better.

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Authors and Affiliations

  1. Laboratoire Signaux et Systèmes de Communication, Université de Constantine, 25000, Constantine, Algérie

    Maamar Abimouloud, Mohamed Baadeche & Faouzi Soltani

  2. Département d’Electronique, Université de Constantine, 25000, Constantine, Algérie

    Faouzi Soltani

Authors
  1. Maamar Abimouloud
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  2. Mohamed Baadeche
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  3. Faouzi Soltani
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Correspondence to Mohamed Baadeche.

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Maamar Abimouloud, Baadeche, M. & Soltani, F. CFAR Detection Performance in Weibull Clutter for Statistical MIMO Radar Using Fuzzy Fusion Rules. J. Commun. Technol. Electron. 66 (Suppl 2), S118–S125 (2021). https://doi.org/10.1134/S1064226921140011

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  • DOI: https://doi.org/10.1134/S1064226921140011

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