DocumentCode
3385185
Title
Kalman filter-based tracking of burst DSSS signal
Author
Xionglin Zhou ; Bo Liu ; Jian Cheng ; Shengchao Shi
Author_Institution
Coll. of Commun. Eng., PLA Univ. of Sci. & Technol., Nanjing, China
fYear
2013
fDate
23-25 March 2013
Firstpage
1145
Lastpage
1148
Abstract
A new method of burst DSSS signal tracking based on Kalman filter is proposed, which uses two Kalman filters to deal with code tracking and carrier tracking respectively. A Kalman model is built and the condition of improving tracking accuracy and optimization of Kalman filter are analyzed. The performance for tracking the burst DSSS in the low Signal-to-Noise Ratio is simulated, which shows the influence that burst data length and signal-to-noise ratio have on tracking accuracy.
Keywords
Kalman filters; code division multiple access; optimisation; spread spectrum communication; tracking; Kalman filter optimization; Kalman filter-based tracking; burst DSSS signal tracking; burst data length; carrier tracking; code tracking; direct sequence spread spectrum; signal-to-noise ratio; tracking accuracy improvement; Accuracy; Global Positioning System; Kalman filters; Noise; Receivers; Spread spectrum communication; Tracking loops;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Science and Technology (ICIST), 2013 International Conference on
Conference_Location
Yangzhou
Print_ISBN
978-1-4673-5137-9
Type
conf
DOI
10.1109/ICIST.2013.6747738
Filename
6747738
Link To Document