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Unambiguous Tracking Technique Based on Combined Correlation Functions for Sine BOC Signals

Published online by Cambridge University Press:  26 July 2018

Tian Li
Affiliation:
(School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan 430074, China)
Zuping Tang
Affiliation:
(School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan 430074, China)
Jiaolong Wei*
Affiliation:
(School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan 430074, China)
Zhihui Zhou
Affiliation:
(School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan 430074, China)
Boyi Wang
Affiliation:
(School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan 430074, China)

Abstract

A new unambiguous tracking technique based on combined correlation functions for sine Binary Offset Carrier (BOC) signals is proposed in this paper. The key to this method is to exploit two types of local reference signals: the BOC signal and a linear combination of a series of BOC signals with different delays. They are both correlated with the received signals. Then, a correlation function without any positive side peaks is obtained by multiplying the two correlation results to make tracking completely unambiguous. Theoretical analysis and simulation in the tracking stage show that the proposed method has the best code tracking accuracy among the method tracking BOC signals like Binary Phase-Shift Keying signals (BPSK-LIKE), the Pseudo correlation function based Unambiguous Delay Lock Loop (PUDLL), Symmetrical Pulse Ambiguity Removing (SPAR) technique, the method proposed by Shen Feng (SF) and the two methods proposed by Yan Tao (YT-V1 and YT-V2). In multipath environments, the proposed method has the best anti-multipath performance of all the tracking methods mentioned above. In conclusion, the proposed method can completely eliminate ambiguity and has significant performance advantages compared with the methods mentioned above.

Information

Type
Research Article
Copyright
Copyright © The Royal Institute of Navigation 2018 

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