Reconstruction of sub cross-correlation cancellation technique for unambiguous acquisition of BOC(kn, n) signals

doi:10.21629/JSEE.2019.05.04

Journal of Systems Engineering and Electronics ›› 2019, Vol. 30 ›› Issue (5): 852-860.doi: 10.21629/JSEE.2019.05.04

• Electronics Technology • Previous Articles Next Articles

Reconstruction of sub cross-correlation cancellation technique for unambiguous acquisition of BOC(kn, n) signals

Yuanfa JI^1,²(), Xiaoqian CHEN^1,²(), Qiang FU^1,²(), Xiyan SUN^1,^2,*(), Weimin ZHEN³()

¹ Guangxi Key Laboratory of Precision Navigation Technology and Application, Guilin University of Electronic Technology, Guilin 541004, China
² National & Local Joint Engineering Research Center of Satellite Navigation Positioning and Location Service, Guilin 541004, China
³ Key Laboratory of Radio Wave Environment and Modeling Technology, Qingdao 266000, China

Received:2018-03-06 Online:2019-10-08 Published:2019-10-09
Contact: Xiyan SUN E-mail:jiyuanfa@163.com;870743923@qq.com;fqrfh@guet.enu.cn;sunxiyan1@163.com;zwm@163.com
About author:JI Yuanfa was born in 1975. He received his Ph.D. degree in Science and Engineering from National Astronomical Observatories, Chinese Academy of Sciences in 2008. He now stays in Guangxi Key Laboratory of Precision Navigation Technology and Application to do research in satellite navigation and signal processing. E-mail: jiyuanfa@163.com|CHEN Xiaoqian was born in 1994. She is a postgraduate student in Guilin University of Electronic Technology. She now stays in Guangxi Key Laboratory of Precision Navigation Technology and Application to study satellite navigation and signal processing. E-mail: 870743923@qq.com|FU Qiang was born in 1976. He received his M.S. degree from Guilin University of Electronic Technology in 2007. He now stays in Guangxi Key Laboratory of Precision Navigation Technology and Application to do research in satellite navigation and image processing. E-mail: fqrfh@guet.enu.cn|SUN Xiyan was born in 1973. She received her M.S. degree from Guilin University of Electronic Technology in 2002 and Ph.D. degree in science and engineering from National Astronomical Observatories, Chinese Academy of Sciences in 2006. From 2006 to 2014, she stayed with Guangxi Key Laboratory of Precision Navigation Technology and Application to do research in satellite navigation and signal processing. She is the author of two books, more than 100 articles, and more than 30 inventions. She is now working at the Guangxi Experiment Center of Information Science. E-mail: sunxiyan1@163.com|ZHEN Weimin was born in 1980. He is a researcher-level senior engineer. Now he works as an expert of the BeiDou system and serves as the chairman of the International Committee on Global Navigation Satellite Systems (ICG), and chairs the project of electromagnetic interference detection and weakening. E-mail: Crirp zwm@163.com
Supported by:
the National Science Foundation of China(61561016);the National Science Foundation of China(61861008);the National Science Foundation of China(11603041);the Guangxi Natural Science Foundation Project(2018JJA170090);the Innovation Project of Guet Graduate Education(2018YJCX19);the Innovation Project of Guet Graduate Education(2018YJCX31);Guangxi Key Laboratory of Precision Navigation Technology and Application, Guilin University of Electronic Technology(DH201707);This work was supported by the National Science Foundation of China (61561016; 61861008; 11603041), the Guangxi Natural Science Foundation Project (2018JJA170090), the Innovation Project of Guet Graduate Education (2018YJCX19; 2018YJCX31), and Guangxi Key Laboratory of Precision Navigation Technology and Application, Guilin University of Electronic Technology (DH201707)

Abstract

Abstract:

In order to solve the problem of ambiguous acquisition of BOC signals caused by its property of multiple peaks, an unambiguous acquisition algorithm named reconstruction of sub cross-correlation cancellation technique (RSCCT) for BOC(kn, n) signals is proposed. In this paper, the principle of signal decomposition is combined with the traditional acquisition algorithm structure, and then based on the method of reconstructing the correlation function. The method firstly gets the sub-pseudorandom noise (PRN) code by decomposing the local PRN code, then uses BOC(kn, n) and the sub-PRN code cross-correlation to get the sub cross-correlation function. Finally, the correlation peak with a single peak is obtained by reconstructing the sub cross-correlation function so that the ambiguities of BOC acquisition are removed. The simulation shows that RSCCT can completely eliminate the side peaks of BOC (kn, n) group signals while maintaining the narrow correlation of BOC, and its computational complexity is equivalent to sub carrier phase cancellation (SCPC) and autocorrelation side-peak cancellation technique (ASPeCT), and it reduces the computational complexity relative to BPSK-like. For BOC(n, n), the acquisition sensitivity of RSCCT is 3.25 dB, 0.81 dB and 0.25 dB higher than binary phase shift keying (BPSK)-like, SCPC and ASPeCT at the acquisition probability of 90%, respectively. The peak to average power ratio is 1.91, 3.0 and 3.7 times higher than ASPeCT, SCPC and BPSK-like at SNR = – 20 dB, respectively. For BOC(2n, n), the acquisition sensitivity of RSCCT is 5.5 dB, 1.25 dB and 2.69 dB higher than BPSK-like, SCPC and ASPeCT at the acquisition probability of 90%, respectively. The peak to average power ratio is 1.02, 1.68 and 2.12 times higher than ASPeCT, SCPC and BPSK-like at SNR = – 20 dB, respectively.

Key words: signal decomposition, sub cross-correlation, reconstructing correlation function, acquisition performance

Yuanfa JI, Xiaoqian CHEN, Qiang FU, Xiyan SUN, Weimin ZHEN. Reconstruction of sub cross-correlation cancellation technique for unambiguous acquisition of BOC(kn, n) signals[J]. Journal of Systems Engineering and Electronics, 2019, 30(5): 852-860.

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Reconstruction of sub cross-correlation cancellation technique for unambiguous acquisition of BOC(kn, n) signals

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