On the performance of non-coherent CFAR detectors in sea-clutter: A comparison study

  • Amar Mezache Department of Electronics, M'sila University.
  • Zakia Terki Laboratoire de Génie Electrique, LAGE, Département d’Electronique, Université Kasdi Merbah Ouargla, Algérie.
  • Fouad Chebbara Laboratoire de Génie Electrique, LAGE, Département d’Electronique, Université Kasdi Merbah Ouargla, Algérie.

Abstract

In radar systems, detection performance depends on assumed target and clutter statistical distributions. The probability of detection is shown to be sensitive to the degree of estimation accuracy of clutter levels. In this work, the performances of non-coherent logt-CFAR, zlog(z)-CFAR and Bayesian-CFAR detectors are investigated using both simulated and real data. Three clutter disturbances are considered named log-normal, Weibull and Pareto type II. Based on simulated data, existing CFAR algorithms provide fully CFAR decision rules. From IPIX real data, the dependence of the false alarm probability associated to each detector is studied. With different range resolutions, it is shown that the Bayesian-CFAR algorithm exhibits a small deviation of the false alarm probability.
Published
Feb 4, 2022
How to Cite
MEZACHE, Amar; TERKI, Zakia; CHEBBARA, Fouad. On the performance of non-coherent CFAR detectors in sea-clutter: A comparison study. International Journal of Information Science and Technology, [S.l.], v. 6, n. 1, p. 38 - 45, feb. 2022. ISSN 2550-5114. Available at: <https://innove.org/ijist/index.php/ijist/article/view/185>. Date accessed: 27 nov. 2022. doi: http://dx.doi.org/10.57675/IMIST.PRSM/ijist-v6i1.185.
Section
Special Issue : Smart Cities, Optimization and Modeling of Complex Systems