Closed-Form Solution for CFAR Detection Threshold in G 0 Distributed SAR Clutter
Year: 2025
Type: article
Abstract: We propose to devise a constant false alarm rate (CFAR) detector for detecting targets in clutter regions with varying degree of heterogeneity. The CFAR detector employs theG0-distribution for characterizing the statistics of background Synthetic Aperture Radar (SAR) clutter amplitude data. We express the Method of Log-Cumulants (MoLC) estimator for the shape parameter ofG0-distribution in closed-form using an approximation of the polygamma function. Monte-carlo simulation results are presented to illustrate the effectiveness of employing polygamma approximation in MoLC estimation for clutter regions with varying heterogeneity levels. Exploiting the dependencies between hypergeometric functions and the Fisher-Snedecor distribution function, we formulate a closed-form solution for the CFAR detection threshold. Furthermore, we derive a closed-form expression of the detection probability for the proposed CFAR detector in terms of clutter model parameters and the signal-to-clutter ratio (SCR). Analytical results are presented to illustrate the efficacy of the CFAR detector in various clutter environments as well as for different SCR levels compared to the CFAR-WBL, CFAR-LGN, CFAR-K and existing CFAR-G0detectors. We further assess the performance of the CFAR detector on ALOSPALSAR and MSTAR (Moving and Stationary Target Acquisition and Recognition) data representing sea clutter and vegetation clutter, respectively. The proposed detector achieves accurate detection result compared to the aforementioned state-of-the-art CFAR detectors. Finally, experimental results illustrate the computational effectiveness of the proposed CFAR-G0detector over CFAR-K and the conventional CFAR-G0detectors.
Source: IEEE Access
Language: English
Subfield: Aerospace Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $2,075
OpenAlex ID: W4411471991