DocumentCode :
3631999
Title :
A new approach to threat tracking on ESM systems by using Kalman filters
Author :
M. Bahadir Celebi;Ali Kara;Berk Akar;Ahmet Tumay;Kivanc Dincer
Author_Institution :
G222 Birimi, T?B?TAK - UEKAE, Turkey
fYear :
2009
fDate :
4/1/2009 12:00:00 AM
Firstpage :
173
Lastpage :
176
Abstract :
Kalman filtering (KF) is a form of recursive estimator, which has been widely applied to different applications. This paper discusses a new approach, based on a discrete event process, for tracking of threats (emitters). Pulses of a particular threat from received mixed (raw) pulse sequences of multiple threats corrupted by timing jitter and measurement noises are aimed to be tracked. Required parameters to initiate KF are taken from identification algorithm which begins before KF algorithm. Hereby, KF runs on mixed pulse train. The algorithm based on KF is adaptive to both the noise and missing pulses together with large time gaps between pulses of the threat. The algorithm is robust and efficient due to the fact that it includes various distinctive parameters of the threat such as frequency (TF), pulse width (DG), angle of arrival (GA) and scan patterns (TO).
Keywords :
"Pulse measurements","Kalman filters","Filtering","Recursive estimation","Timing jitter","Noise measurement","Particle measurements","Noise robustness","Frequency","Space vector pulse width modulation"
Publisher :
ieee
Conference_Titel :
Signal Processing and Communications Applications Conference, 2009. SIU 2009. IEEE 17th
ISSN :
2165-0608
Print_ISBN :
978-1-4244-4435-9
Type :
conf
DOI :
10.1109/SIU.2009.5136360
Filename :
5136360
Link To Document :
بازگشت