Technology of Network & Communication
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1839-1843

Analysis of general unambiguous acquisition for BOC and its derivative signals

Yuan Shuai
Zhang Tianqi
Liu Donghua
Wang Sheng
Chongqing Key Laboratory of Signal & Information Processing, Chongqing University of Posts & Telecommunications, Chongqing 400065, China

Abstract

For the problem of general unambiguous acquisition for BOC(binary offset carrier) and its derivative signals is still scarce of analysis, this paper proposed an improved unambiguous acquisition method based on PCF(pseudo correlation function). Firstly, this paper proposed the concept of step-shape bits vector to obtain a unified expression of cross-correlation function and designed two new step-shape vectors, then synthesized the received signal and referenced signal of corresponding to shape code vector to obtain a single peak. Finally, this paper obtained a generalized unambiguous acquisition method by combined the single peak and autocorrelation functions. The experimental results show that, under the same conditions, its peak energy of the main peak increases by 23% than sub carrier phase cancellation method, the new proposed method can deal with all kinds of BOC signals including complex ones with different types or orders and completely eliminate the ambiguity of the autocorrelation function in the synchronization process.

Foundation Support

国家自然科学基金资助项目(61671095,61371164,61702065,61701067,61771085)
信号与信息处理重庆市市级重点实验室建设项目(CSTC2009CA2003)
重庆市研究生科研创新项目(CYS17219)
重庆市教育委员会科研项目(KJ1600427,KJ1600429)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.01.0014
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 6
Section: Technology of Network & Communication
Pages: 1839-1843
Serial Number: 1001-3695(2019)06-050-1839-05

Publish History

[2019-06-05] Printed Article

Cite This Article

袁帅, 张天骐, 刘董华, 等. BOC及其衍生信号通用无模糊捕获分析 [J]. 计算机应用研究, 2019, 36 (6): 1839-1843. (Yuan Shuai, Zhang Tianqi, Liu Donghua, et al. Analysis of general unambiguous acquisition for BOC and its derivative signals [J]. Application Research of Computers, 2019, 36 (6): 1839-1843. )

About the Journal

  • Application Research of Computers Monthly Journal
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    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

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