DocumentCode
2625948
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
fYear
2012
fDate
15-17 Oct. 2012
Firstpage
509
Lastpage
510
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/APCC.2012.6388245
Filename
6388245
Link To Document