NTSC-IR
A new evil waveforms evaluating method for new BDS navigation signals
He, Chengyan1,2; Guo, Ji1,2,5; Lu, Xiaochun1,2; Wang, Xue1,2; Rao, Yongnan1,2; Kang, Li1,2,3; Hu, Zhigang4
2018-04-01
发表期刊GPS SOLUTIONS
ISSN1080-5370
卷号22期号:2页码:13
摘要With the advent of new global navigation satellite systems (GNSSs) and new signals, GNSS users will rely more on them to obtain higher-accuracy positioning. Evil waveform monitoring and assessment are of great importance for GNSS to achieve its positioning, velocity, and timing service with high accuracy. However, the advent of new navigation signals introduces the necessity to extend the traditional analyzing techniques already accepted for binary phase-shift keying modulation to new techniques. First, the well-known second-order step thread model adopted by the International Civil Aviation Organization is introduced. Then the extended new general thread models are developed for the new binary offset carrier modulated signals. However, no research has been done on navigation signal waveform symmetry yet. Simulation results showed that, waveform asymmetry may also cause tracking errors, range biases, and position errors in GNSS receivers. It is thus imperative that the asymmetry be quantified to enable the design of appropriate error budgets and mitigation strategies for various application fields. A novel evil waveform analysis method, called waveform rising and falling edge symmetry (WRaFES) method, is proposed. Based on this WRaFES method, the correlation metrics are provided to detect asymmetric correlation peaks distorted by received signal asymmetry. Then the statistical properties of the proposed methods are analyzed, and a proper deformation detection threshold is calculated. Finally, both simulation results and experimentally measured results of Beidou navigation satellite system (BDS) M1-S B1Cd signal are given, which show the effectiveness and robustness of the proposed thread models.
关键词GNSS Satellite navigation signal Evil waveform Evaluating Threat model
资助者National Nature Science Foundation of China ; National Nature Science Foundation of China ; Youth Innovation Promotion Association of the Chinese Academy of Sciences (CN) ; Youth Innovation Promotion Association of the Chinese Academy of Sciences (CN) ; National Nature Science Foundation of China ; National Nature Science Foundation of China ; Youth Innovation Promotion Association of the Chinese Academy of Sciences (CN) ; Youth Innovation Promotion Association of the Chinese Academy of Sciences (CN) ; National Nature Science Foundation of China ; National Nature Science Foundation of China ; Youth Innovation Promotion Association of the Chinese Academy of Sciences (CN) ; Youth Innovation Promotion Association of the Chinese Academy of Sciences (CN) ; National Nature Science Foundation of China ; National Nature Science Foundation of China ; Youth Innovation Promotion Association of the Chinese Academy of Sciences (CN) ; Youth Innovation Promotion Association of the Chinese Academy of Sciences (CN)
DOI10.1007/s10291-018-0698-x
语种英语
资助项目National Nature Science Foundation of China[61501430] ; National Nature Science Foundation of China[41604029] ; Youth Innovation Promotion Association of the Chinese Academy of Sciences (CN)
资助者National Nature Science Foundation of China ; National Nature Science Foundation of China ; Youth Innovation Promotion Association of the Chinese Academy of Sciences (CN) ; Youth Innovation Promotion Association of the Chinese Academy of Sciences (CN) ; National Nature Science Foundation of China ; National Nature Science Foundation of China ; Youth Innovation Promotion Association of the Chinese Academy of Sciences (CN) ; Youth Innovation Promotion Association of the Chinese Academy of Sciences (CN) ; National Nature Science Foundation of China ; National Nature Science Foundation of China ; Youth Innovation Promotion Association of the Chinese Academy of Sciences (CN) ; Youth Innovation Promotion Association of the Chinese Academy of Sciences (CN) ; National Nature Science Foundation of China ; National Nature Science Foundation of China ; Youth Innovation Promotion Association of the Chinese Academy of Sciences (CN) ; Youth Innovation Promotion Association of the Chinese Academy of Sciences (CN)
WOS研究方向Remote Sensing
WOS类目Remote Sensing
WOS记录号WOS:000429383300002
出版者SPRINGER HEIDELBERG
引用统计
文献类型期刊论文
条目标识符http://210.72.145.45/handle/361003/11496
专题中国科学院国家授时中心
通讯作者He, Chengyan
作者单位1.Chinese Acad Sci, Key Lab Precise Nav Positioning & Timing, Xian, Shaanxi, Peoples R China
2.Chinese Acad Sci, Natl Time Serv Ctr, 3 Shuyuan East Rd, Xian 710600, Shaanxi, Peoples R China
3.Chinese Acad Sci, Grad Univ, Beijing 100190, Peoples R China
4.Wuhan Univ, GNSS Res Ctr, Luoyu Rd 129, Wuhan 430079, Hubei, Peoples R China
5.Univ Chinese Acad Sci, Sch Astron & Space Sci, Beijing 101408, Peoples R China
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GB/T 7714
He, Chengyan,Guo, Ji,Lu, Xiaochun,et al. A new evil waveforms evaluating method for new BDS navigation signals[J]. GPS SOLUTIONS,2018,22(2):13.
APA He, Chengyan.,Guo, Ji.,Lu, Xiaochun.,Wang, Xue.,Rao, Yongnan.,...&Hu, Zhigang.(2018).A new evil waveforms evaluating method for new BDS navigation signals.GPS SOLUTIONS,22(2),13.
MLA He, Chengyan,et al."A new evil waveforms evaluating method for new BDS navigation signals".GPS SOLUTIONS 22.2(2018):13.
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