GNSS World of China

Volume 48 Issue 5
Oct.  2023
Turn off MathJax
Article Contents
LIU Jiyang, TANG Xiaomei, YUAN Muzi, WANG Feixue. Intermittent tracking algorithm and performance analysis of low earth orbit satellite navigation SNAP signals[J]. GNSS World of China, 2023, 48(5): 15-20. doi: 10.12265/j.gnss.2023126
Citation: LIU Jiyang, TANG Xiaomei, YUAN Muzi, WANG Feixue. Intermittent tracking algorithm and performance analysis of low earth orbit satellite navigation SNAP signals[J]. GNSS World of China, 2023, 48(5): 15-20. doi: 10.12265/j.gnss.2023126

Intermittent tracking algorithm and performance analysis of low earth orbit satellite navigation SNAP signals

doi: 10.12265/j.gnss.2023126
  • Received Date: 2023-06-25
    Available Online: 2023-10-19
  • With the rapid development of satellite navigation systems, high-precision and trustworthy navigation based on low earth orbit (LEO) satellite has become a hot topic in current research. However, the safety and trustworthiness issues of LEO satellite navigation have always hindered its large-scale application. The authentication scheme based on spreading code and navigation data based authentication proposal (SNAP) has shown a good trend in solving the above problems. The focus of this paper is to solve the intermittent tracking algorithm and performance analysis of SNAP signals, and obtain the analytical expression of tracking error. The research results show that the error accumulation caused by intermittent tracking follows a Gaussian distribution, and its mean is proportional to the Doppler frequency shift rate, and the variance is equivalent to the loss of carrier-to-noise ratio. Compared with the carrier loop, the code loop is less affected by Doppler. The research results of this paper provide important theoretical reference for the design of receiver system parameters under intermittent tracking structure.

     

  • loading
  • [1]
    CHEN X, LUO R D, LIU T, YUAN H, et al. Satellite navigation signal authentication in GNSS: a survey on technology evolution, status, and perspective for BDS[J]. Remote sensing, 2023, 15(5): 1462. DOI: 10.3390/rs15051462
    [2]
    江旭东, 陈潇, 马满帅, 等. 典型低轨卫星星座导航增强性能对比性评估研究[J]. 全球定位系统, 2021, 46(2): 49-55. DOI: 10.12265/j.gnss.2020111202
    [3]
    张小红, 马福建. 低轨导航增强GNSS发展综述[J]. 测绘学报, 2019, 48(9): 1073-1087. DOI: 10.11947/j.AGCS.2019.20190176
    [4]
    MENG L X, YANG L, YANG W, et al. A survey of GNSS spoofing and anti-spoofing technology[J]. Remote sensing, 2022(14): 4826. DOI: 10.3390/rs14194826
    [5]
    YUAN M Z, TANG X M, OU G. Authenticating GNSS civilian signals: a survey[J]. Satellite navigation, 2023, 4(1): 6. DOI: 10.1186/s43020-023-00094-6
    [6]
    陈东桥. 基于新型OTP认证的GNSS导航电文加密认证技术研究[J]. 计算机产品与流通, 2021(3): 157-158.
    [7]
    申成良, 郭承军. 卫星导航信号电文加密技术研究与评估[J]. 全球定位系统, 2018, 43(3): 7-12.
    [8]
    MOTELLA B, MARGARIA D, PAONNI M. SNAP: an authentication concept for the Galileo open service[C]//2018 IEEE/ION Position, Location and Navigation Symposium (PLANS), 2018. DOI: 10.1109/PLANS.2018.8373475
    [9]
    严涛, 田野, 李天, 等. CSK调制信号的跟踪方法[J]. 中国空间科学技术, 2023, 43(2): 117-127. DOI: 10.16708/j.cnki.1000-758X.2023.0026
    [10]
    陈玉君. 高动态卫星信号跟踪技术研究[J]. 电子技术与软件工程, 2021(16): 79-80.
    [11]
    韩志凤, 刘建业, 李荣冰, 等. 北斗弱信号跟踪相干积分算法设计[J]. 控制与决策, 2018, 33(7): 1282-1286. DOI: 10.13195/j.kzyjc.2017.0197
    [12]
    MARAGRIA D, MOTELLA B, ANGHILERI M, et al. Signal structure-based authentication for civil GNSS: recent solutions and perspectives[J]. IEEE signal processing magazine, 2017, 34(5): 27-37. DOI: 10.1109/MSP.2017.2715898
    [13]
    赵琳, 柏亚国, 丁继成, 等. 基于EKF的北斗B1C信号数据/导频联合跟踪方法[J]. 全球定位系统, 2020, 45(6): 1-9. DOI: 10.13442/j.gnss.1008-9268.2020.06.001
    [14]
    田野, 湛剑佳. 用于GNSS信号的可变相干积累时长的时频域结合捕获算法[J]. 全球定位系统, 2018, 43(4): 8-13. DOI: 10.13442/j.gnss.1008-9268.2018.04.002
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Figures(6)  / Tables(2)

    Article Metrics

    Article views (350) PDF downloads(55) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return