NDLI: Delayed sampling technique for high-order BOC signals acquisition

Content Provider	IET Digital Library
Author	Liu, Zhijun Li, Baiyu Zhu, Xiangwei Li, Lixun Sun, Guangfu
Abstract	Binary offset carrier (BOC) signals are applied in modernised global navigation satellite system. High-order BOC signals provide good performance in spectrum separation and signal tracking. However, for high-order BOC signals, the sampling frequency is much higher than that of binary phase-shift keying signals, which increases computational complexity. Meanwhile, the zero crossings in the correlation function degrade the detection performance. In this Letter, band-pass sampling is introduced for BOC signals to reduce the computational complexity and remove the zero crossings. A delayed replica of the received signal is used to construct a complex signal which is sampled with a much lower sampling frequency than the Nyquist frequency. The correlation function of the sampled signal has no secondary peaks. Thus, the detection probability is higher and the computational complexity is lower.
Starting Page	280
Ending Page	281
Page Count	2
ISSN	00135194
Volume Number	55
e-ISSN	1350911X
Issue Number	Issue 5, Mar (2019)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/el/55/5
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/el.2018.6336
Journal	Electronics Letters
Publisher Date	2019-01-24
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Band-pass Sampling Binary Offset Carrier Signal Binary Phase-shift Keying Signal Computational Complexity Correlation Function Correlation Method Delayed Sampling Technique Detection Probability Global Navigation Satellite System High-order BOC Signal Acquisition Modulation And Coding Method Nyquist Frequency Phase Shift Keying Probability Radio Navigation And Direction Finding Sampled Signal Sampling Frequency Satellite Communication System Satellite Navigation Signal Detection Signal Sampling Signal Tracking Spectrum Separation Statistics Zero Crossings
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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