DocumentCode :
3778097
Title :
Tracking based on the adaptation of double gains and feedforward initiation for burst DSSS signals
Author :
Chen Tianli; Li Xiaodong; Xiao Yong
Author_Institution :
Beijing Satellite Navigation Center, 100094, China
Volume :
2
fYear :
2015
fDate :
7/1/2015 12:00:00 AM
Firstpage :
742
Lastpage :
746
Abstract :
To promise code tracking precision of burst DSSS signals, an improved adaptive algorithm was proposed on the minimum mean-square error (MMSE) criterion to adjust double gains of code tracking loop. During each epoch, Gains of discriminator and NCO (numerical controlled oscillator) were all optimized, which avoid the problems of existing single gain adaptive algorithms, such as imprecision and instability. Meanwhile, focusing on the problem of carrier tracking, the feedforwad frequency estimation based on the first epoch was adopted to initiate FLL (frequency locked loop), which decrease the error of carrier tracking caused by the imprecision of the initial frequency value supplied by acquisition module. Compared with several existing algorithms, simulation results show the excellence of this algorithm.
Keywords :
"Feedforward neural networks","Voltage-controlled oscillators","Frequency synchronization","Adaptive algorithms","Frequency estimation","Optimization","Mean square error methods"
Publisher :
ieee
Conference_Titel :
Electronic Measurement & Instruments (ICEMI), 2015 12th IEEE International Conference on
Type :
conf
DOI :
10.1109/ICEMI.2015.7494321
Filename :
7494321
Link To Document :
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