Title :
Environment detection with Kalman filter for CFAR detectors
Author :
Hong, Seong Won ; Han, Dong Seog
Author_Institution :
Grad. Sch. of Electron. Eng. & Comput. Sci., Kyungpook Nat. Univ., Daegu, South Korea
Abstract :
The constant false alarm rate (CFAR) detector is a representative detection method for radar systems. Its detection performance is severely depending on clutter environments such as homogeneous and non-homogeneous. Depending on the environment, we have to adopt different CFAR algorithms. Thus, in this paper, we propose the environment detection algorithm using the Kalman filter. By using this algorithm, we can select the optimal CFAR detector for each environment.
Keywords :
Kalman filters; radar clutter; radar detection; CFAR detectors; Kalman filter; clutter environments; constant false alarm rate detector; environment detection; radar systems; representative detection; Clutter; Detectors; Educational institutions; Kalman filters; Noise; Radar detection; Simulation; Kalman filter; clutter-edge; constant false alarm rate; detection; multiple targets;
Conference_Titel :
Communications (APCC), 2012 18th Asia-Pacific Conference on
Conference_Location :
Jeju Island
Print_ISBN :
978-1-4673-4726-6
Electronic_ISBN :
978-1-4673-4727-3
DOI :
10.1109/APCC.2012.6388245
