A CFAR thresholding approach based on test cell statistics
Tri-Tan Van Cao - DSTO, Australia, Andrew Shaw - DSTO, Australia
Wed, 28 April 2004, 1:30 PM - 3:20 PM
A new Constant False Alarm Rate (CFAR) detection algorithm that takes into account the statistics of the sample in the test cell for reference sample selection is proposed and analysed in this paper. The new CFAR algorithm, designated as Switching CFAR (S-CFAR), is designed to operate in homogeneous environment and multiple targets with clutter transition situations. Mathematical analysis in an homogeneous environment shows that the S-CFAR processor has very small CFAR loss compared to the conventional cell-averaging CFAR processor. Monte-Carlo simulations in a non-homogeneous environment demonstrate that the S-CFAR processor has improved robustness against interference targets and clutter power transition. The S-CFAR processor is also simple to design and implement since no sample ordering is required.
Dr. Tri-Tan Van Cao - DSTO, Australia
Tri-Tan Van Cao graduated from Flinders University, South Australia with a Bachelor of Science (1996), a Bachelor of Biomedical Engineering (1997), and a Ph.D. in Electrical & Electronic Engineering (2003). He has been with the Defence Science & Technology Organisation (DSTO), Edinburgh, Australia since 2002. His research interests include Radar Detection and Statistical Signal Processing.