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
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;
Conference_Titel :
Information Science and Technology (ICIST), 2013 International Conference on
Conference_Location :
Yangzhou
Print_ISBN :
978-1-4673-5137-9
DOI :
10.1109/ICIST.2013.6747738
