Performance Analysis of OSSO- and OSGO-CFAR in Pareto Distribution Reverberation

The Pareto distribution was an important non-Gaussian distribution. It has been proven to effectively describe the reverberation statistical properties of high-resolution active sonar. This paper analyzed the performance of both the ordered statistic smallest option(OSSO) and the ordered statistic greatest option(OSGO) of constant fales alarm rate (CFAR) detectors in the Pareto distribution reverberation background. Assuming the scale parameter was known, it was proved that OSSO-CFAR and OSGO-CFAR detectors also have constant false alarm performance on shape parameter. And this paper analyzed the performance of the two detectors in the case of Pareto homogeneous reverberation background, multi-target interference and edge-reverberation, and compared the performance with the ordered statistic(OS) CFAR detector. The results show that the detection performance of the OSGO-CFAR detector is very similar to OS-CFAR detector in homogeneous background but it has the best false alarm control ability in the case of edge-reverberation. For multi-target interference environments, OSSO-CFAR detector performs better than the other two detectors.