Performance comparison of some censoring CA-based CFAR processors in heterogeneous environments

Authors

  • B. ZATTOUTA LASK Laboratory, Dept. Electrical Engineering, Faculty of Technology, 20 Août 1955 Skikda University, 21000. Algeria
  • L. MESSIKH LASK Laboratory, Dept. Electrical Engineering, Faculty of Technology, 20 Août 1955 Skikda University, 21000. Algeria

DOI:

https://doi.org/10.51485/ajss.v2i1.30

Keywords:

Adaptive CFAR detection, Automatic censoring, heterogeneous environments, Probability of detection, Probability of false alarm

Abstract

Performance comparison of automatic censoring CA-based CFAR processors contribute to the development of more efficient censoring detectors. In this paper, the authors analyze the performance of the detection schemes which named: ACCA-odv- (Automatic Censored Cell Averaging -ordered data variability-), ADCCA- (Automatic Dual Censoring Cell Averaging-), ACGCA- (Automatic Censoring Greatest Cell Averaging-), and GGDC- (Goodness-of-fit Generalized likelihood test with Dual Censoring-)-CFAR's in heterogeneous environments. The assumed environments are represented by three situations: first, the homogeneous situation, second, the presence of interfering targets, and the third case is allowed to the presence of clutter edges. The obtained results, under the assumption of a Gaussian clutter and a mono pulse processing, show that most of the studied detectors perform well in a specific conditions and there is a need to further developments to ensure the required performances for recent target detection application.

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Published

2017-03-15

How to Cite

[1]
ZATTOUTA, B. and MESSIKH, L. 2017. Performance comparison of some censoring CA-based CFAR processors in heterogeneous environments. Algerian Journal of Signals and Systems . 2, 1 (Mar. 2017), 31- 39. DOI:https://doi.org/10.51485/ajss.v2i1.30.

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Section

Articles