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Telecommunications and Radio Engineering
SJR: 0.203 SNIP: 0.44 CiteScore™: 1

ISSN Imprimir: 0040-2508
ISSN On-line: 1943-6009

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Telecommunications and Radio Engineering

DOI: 10.1615/TelecomRadEng.v56.i4-5.170
6 pages

The Application of the Permutation Filters for Adaptive Digital Quadratic Detector

Victor Golikov
Universidad Autonoma del Carmen,Ciudad del Carmen, Campeche, Mexico
Olga Lebedeva
Universidad Autonoma del Carmen, Ciudad del Carmen, Campeche, Mexico
Jose Luis Orta
Director of Department of Universidad Autonoma del Carmen, Ciudad del Carmen, Campeche, Mexico

RESUMO

This paper proposes a method to reduce the computational complexity of the optimal digital quadratic detector, which is the optimal Neyman-Pearson detector for detecting a colored Gaussian random target signal against colored Gaussian distributed noise. The covariance matrices of the colored noise are unknown. We also presents fully adaptive detector and it exhibits an acceptable loss with respect to previously proposed adaptive detector. This detector has been constructed by replacing the covariant matrices on the appropriate block-circulant matrices in the likelihood ratio for example dyadic matrices. The performance comparison between the classical adaptive approach and the adaptive approach proposed by the authors carried out in terms of probability of detection as a function of the signal to noise ratio for a fixed probability of false alarm and in term of computational complexity.


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