Projects per year
The problem of target detection in a complex clutter environment, with Constant False Alarm Ratio (CFAR), is addressed in this paper. In particular an algorithm for CFAR target detection is applied to the context of FOliage PENetrating (FOPEN) Synthetic Aperture Radar (SAR) imaging. The extreme value distributions family is used to model the data and exploiting the location-scale property of this family of distributions, a multi-model CFAR algorithm is derived. Performance analysis on real data confirms the capability of the developed framework to control the false alarm probability.
|Number of pages||5|
|Publication status||Published - 10 Jul 2015|
|Event||5th Conference of the Sensor Signal Processing for Defence - Royal College of Physicians of Edinburgh, Edinburgh, United Kingdom|
Duration: 9 Jul 2015 → 10 Jul 2015
|Conference||5th Conference of the Sensor Signal Processing for Defence|
|Abbreviated title||SSPD 2015|
|Period||9/07/15 → 10/07/15|
- radar clutter
- radar detection
- radar imaging
- synthetic aperture radar
- algorithm design and analysis
- Weibull distribution
FingerprintDive into the research topics of 'A location scale based CFAR detection framework for FOPEN SAR images'. Together they form a unique fingerprint.
- 1 Finished
Soraghan, J. & Weiss, S.
1/04/13 → 31/03/18