Computer Science ›› 2020, Vol. 47 ›› Issue (1): 245-251.doi: 10.11896/jsjkx.190100193

• Computer Network • Previous Articles     Next Articles

Analysis of GNSS Signal Code Tracking Accuracy Under Gauss Interference

YE Lv-yang1,2,3,FAN Zhan-you1,2,ZHANG Han-qing1,2,3,LIU Yan1,2,3,WU Wen-jun1,2,HU Yong-hui1,2   

  1. (National Time Service Center,Chinese Academy of Science,Xi’an 710600,China)1;
    (Key Laboratory of Precision Navigation Positioning and Timing Technology,CAS,Xi’an 710600,China)2;
    (School of Electronic,Electrical and Communication Engineering,University of Chinese Academy of Sciences,Beijing 100049,China)3
  • Received:2019-01-23 Published:2020-01-19
  • About author:ZHONG Xu-dong,born in 1991.He is now a doctoral candidate and an engineer.His research concerns resource management for satellite networks;HE Yuan-zhi,born in 1974.She is now a Research Fellow with Ph.D.degree.Her research concerns satellite communications and cognitive satellite networks.
  • Supported by:
    This work was supported by the National Natural Science Foundation of China (11703030,10773012),Western Youth Scholars Fund of the Chinese Academy of Sciences (XAB2017A06) and Beidou Military Timing Terminal Fund (Y833ZX1601).

Abstract: Code tracking accuracy is an important parameter for the compatibility interoperability evaluation of navigation systems.In order to quantitatively analyze the code tracking accuracy of GNSS signals under Gaussian interference,starting from common Gaussian interference signals,the code tracking accuracy of GNSS signals was simulated and analyzed according to the MATLAB software,the CT-SSC expression of NELP and DP loop were given,the CT-SSC and Cramer-Rao lower bounds of the loop model were analyzed meanwhile.The simulation results show that the code tracking error of GNSS signals is more obvious by Gaussian-narrowband interference and wideband interference under the same conditions,while code tracking error of GNSS signal is more stable under Gauss matching spectrum interference and band-limited white interference in a certain signal-to-interference ratio range.Under the model of DP,the three-dimensional surface of GNSS signal is more “smooth” than CELP and NELP model in terms of CT-SSC,and the tracking performance is best.The tracking performance analysis of GNSS signals can provide an important reference for GNSS system on compatibility and interoperability assessment as well as modern GNSS recei-ver design,and the expressions of CT-SSC about NELP and DP model can be analysis parallel with CELP model.

Key words: Gauss interference, GNSS, Code tracking, CT-SSC, Cramer-Rao boundary

CLC Number: 

  • TN961
[1]JAMES J M,FRANK H B,ORIA A J,et al.Achieving GNSS Compatibility and Interoperability to Support Space Users[C]∥Proceedings of the 29th International Technical Meeting of The Satellite Division of the Institute of Navigation (ION GNSS+2016).Portland,Oregon,2016:3622-3634.
[2]USA & EC.Joint Stantement on Galileo and GPS Signal Optimization By the European Commission(EC) and the United States(US).https://www.gps.gov/policy/cooperation/europe/2006/joint-statement/.
[3]HAN T,LU X C,DU J,et al.Analysis of GNSS User/Industry Interoperability Viewpoint Survey Results[C]∥China Satellite Navigation Conference (CSNC).Singapore:Springer,2017:2.
[4]China Satellite Navigation System Management Office.Bei Dou Navigation Satellite System Signal In Space Interface Control Document Open Service Signal B1C (Version1.0).http://www.beidou.gov.cn/xt/gfxz/201712/P020171226741342013-031.pdf.
[5]China Satellite Navigation System Management Office.Joint Declaration on Compatibility and Interoperability of Beidou and GPS Signals.http://www.beidou.gov.cn/yw/gfgg/201712/t20171220_10539.html.
[6]China Satellite Navigation System Management Office.Beidou Satellite Navigation System Development Report (3.0 edition).http://beidou.gov.cn/xt/gfxz/201812/P020190117356-387956569.pdf.
[7]GARRISON J L,LIANG L.Numerical simulation of GNSS code tracking loops using Euler-Maruyama method[J].Electronics Letters,2005,41(15):868.
[8]BET Z,JOHN W,KOLODZIEJSK I,et al.Generalized Theory of Code Tracking with an Early-Late Discriminator Part I:Lo-wer Bound and Coherent Processing[J].IEEE Transactions on Aerospace & Electronic Systems,2009,45(4):1538-1556.
[9]BETZ J W,KOLODZIEJSKI K R.Generalized Theory of Code Tracking with an Early-Late Discriminator Part II:Noncoherent Processing and Numerical Results[J].IEEE Transactions on Aerospace & Electronic Systems,2009,45(4):1538-1556.
[10]ELMAS Z G,AQUINO M,FORTE B.The impact of ionosphe- ric scintillation on the GNSS receiver signal tracking perfor-mance and measurement accuracy[C]∥2011 XXXth URSI Gene-ral Assembly and Scientific Symposium.IEEE,Istanbul,Turkey,2012.
[11] DOWNING B H.A Method for Comparing the Code Tracking Performance of GNSS Receivers[C]∥2016 ION International Technical Meeting.Portland,Oregon,USA,2016:468-477.
[12]YANG J,YE H,CHEN X,et al.Tracking Performance Assessment of Tiered Code Effect on GNSS Signal in the Presence of CWI[C]∥China Satellite Navigation Conference (CSNC) 2018.Harbin,China,2018:137-145.
[13]SENGUPTA S K.Fundamentals of Statistical Signal Proces- sing:Estimation Theory[M].PTR Prentice Hall,Englewood Cliffs,New Jersey,1993.
[14]ZHANG X,XU H L,ZHAN X Q.Analysis and comparison of GNSS code tracking with different discriminators[C]∥Iet International Communication Conference on Wireless Mobile & Computing.IET,London,England,2012:15-19.
[15]BETZ J W,KOLODZIEJSKI K R.Extended Theory of Early-Late Code Tracking for a Bandlimited GPS Receiver[J].Navigation,2000,47(3):211-226.
[16]GREWAL M S,ANDREWS A P,BARTONE C G.Global Navigation Satellite Systems,Inertial Navigation,and Integration[M].John Wiley,Hoboken,New Jersey,USA,2001.
[17]YAO Z,LU M Q,FENG Z M.Quadrature multiplexed BOC modulation for interoperable GNSS signals[J].Electronics Letters,2010,46(17):1234.
[18]BONNY J M,PAGES,GUILHEM.Uncertainties of calculated Cramér-Rao lower bounds:implications for quantitative MRS[J].Magnetic Resonance in Medicine,2018,81(2):759-764.
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