Application of the Positive Alpha-Stable Distribution
SPWHOS '97 Proceedings of the 1997 IEEE Signal Processing Workshop on Higher-Order Statistics (SPW-HOS '97)
Introducing excision switching-CFAR in K distributed sea clutter
Signal Processing
CFAR detection for multistatic radar
Signal Processing
Improved switching CFAR detector for non-homogeneous environments
Signal Processing
Hi-index | 0.00 |
In this paper, we analyse the performance of the Greatest Of-Constant False Alarm Rate (GO-CFAR) and the Smallest Of (SO)-CFAR detectors in the presence of clutter environments whose amplitude statistics are modelled by the Pearson V distribution and where the clutter dominates the receiver noise. The performance of these detectors are evaluated both in homogeneous and non-homogeneous clutter. The non-homogeneity is modelled as a step function discontinuity in the reference window. The target in the test cell is assumed to fluctuate according to the Swerling I model. We derive closed form expressions for the probability of false alarm (Pfa) and the probability of detection (Pd) in homogeneous and nonhomogeneous Pearson V distributed clutter. The comparison of the two detectors for a non-homogeneous clutter environment showed that the best false alarm rate performance at clutter boundary is obtained for the SO-CFAR detector when the test cell is in low level clutter, while the GO-CFAR detector exhibits better performance when the test cell is from the higher level clutter as expected.