NDLI: An Unambiguous Tracking Method Based on Pseudo Correlation Function for AltBOC(15,10) Signal

Content Provider	Springer Nature Link
Author	Chen, Huihua Wang, Rong Jia, Weimin Ren, Jiawei Yao, Minli
Copyright Year	2012
Abstract	The Galileo E5 or COMPASS B2 signal is the most precision civil and most challenging navigation signal which will be available in the near future for regular navigation. The excellent performance of this signal was reached by Alternative Binary Offset Carrier (AltBOC) modulation, which is specially designed for high precision range measurement and which is featured by extremely wide bandwidth. However, this modulation presents some drawbacks. The most severe one is the ambiguity problem in AltBOC signal acquisition and tracking, which introduces a large bias in the pseudo-range measurement. In order to solve this problem, an unambiguous tracking method based on a pseudo correlation function for AltBOC(15,10) modulation signal is proposed in this paper. It employs two local signals and a novel combination function, which completely removes side peaks from the correlation function while keeping the sharp main peak. Impacts of multipath on the proposed method are also investigated. Simulation results demonstrate that the proposed method is totally unambiguous while exhibiting an average multipath performance with respect to the existing unambiguous tracking methods.
Starting Page	1347
Ending Page	1364
Page Count	18
File Format	PDF
ISSN	09296212
Journal	Wireless Personal Communications
Volume Number	69
Issue Number	4
e-ISSN	1572834X
Language	English
Publisher	Springer US
Publisher Date	2012-04-24
Publisher Place	Boston
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Global navigation satellite systems (GNSS) Alternative binary offset carrier (AltBOC) Unambiguous tracking Multipath Communications Engineering, Networks Signal, Image and Speech Processing Computer Communication Networks
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Computer Science Applications

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