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Analysis of noncommensurate sampling effects on the performance of PN code tracking loops

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Abstract

Noncoherent early-late processing (NELP) code tracking loops are often implemented using digital hardware for digital global positioning system (GPS) receivers. Noncommensurate sampling technology is widely used because it is viewed as an effective solution to cope with the drawback of digital effects. However, the relationship between the sampling rate and auto-correlation function (ACF) is not adequately characterized by traditional analysis. The principles for selecting the sampling rate are still not apparent. In order to solve this problem, we first analyzed the effects of different sampling rates on ACF and obtained the analytical form of a discrete auto-correlation function (DACF) for a noncommensurate sampling rate. Based on the result, the relationship between the step variation in DACF and NELP parameters such as sampling rate, integration time, and correlator spacing was determined. The maximum step variation size of DACF was also determined. However, considering the actual situation, additional factors such as code Doppler shift, precorrelation filter, and thermal noise may degrade the step variation of DACF. The relationship between the step variation and these factors was analyzed separately. An appropriate sampling rate and appropriate correlator spacing were proposed to achieve the typical accuracy of measurement. The numerical simulation verified the validity of the above theoretical analyses, and finally, the conclusions and design constraints for the digital GPS receiver are summarized.

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References

  1. Meyr H. Delay-lock tracking of stochastic signals. IEEE Trans Commun, 1976, 24: 331–339

    Article  MATH  Google Scholar 

  2. Polydoros A, Weber C. Analysis and optimization of correlative codetracking loops in spread-spectrum systems. IEEE Trans Commun, 1985, 33: 30–43

    Article  MATH  Google Scholar 

  3. Simon M. Noncoherent pseudonoise code tracking performance of spread spectrum receivers. IEEE Trans Commun, 1977, 25: 327–345

    Article  MATH  Google Scholar 

  4. Betz J W, Kolodziejski K R. Generalized theory of code tracking with an early-late discriminator Part I: Lower bound and coherent processing. IEEE Trans Aerosp Electron Syst, 2009, 45: 1538–1556

    Article  Google Scholar 

  5. Betz J W, Kolodziejski K R. Generalized theory of code tracking with an early-late discriminator Part II: Noncoherent processing and numerical results. IEEE Trans Aerosp Electron Syst, 2009, 45: 1557–1564

    Article  Google Scholar 

  6. Thomas J. Signal-processing theory for the TurboRogue receiver. NASA STI/Recon Technical Report, 1995

    Google Scholar 

  7. Quirk K J, Srinivasan M. Analysis of sampling and quantization effects on the performance of PN code tracking loops. In: IEEE International Conference on Conference: Communications, 2002. New York: IEEE, 2002. 1480–1484

    Google Scholar 

  8. Liu L, Amin M G. Performance analysis of GPS receivers in non-Gaussian noise incorporating precorrelation filter and sampling rate. IEEE Trans Signal Process, 2008, 56: 990–1004

    Article  MathSciNet  Google Scholar 

  9. Quirk K J, Srinivasan M. PN code tracking using noncommensurate sampling. IEEE Trans Commun, 2006, 54: 1845–1856

    Article  Google Scholar 

  10. Yuan C, Yuan H, Xu Y, et al. The study on pseudorange error caused by sampling process for GNSS Receiver. In: Proceedings of 2013 China Satellite Navigation Conference (CSNC). Berlin, Heidelberg: Springer, 2013. 525–535

    Chapter  Google Scholar 

  11. Yang J, Yang Y K, Li J S, et al. A novel satellite-equipped receiver for autonomous monitoring of GNSS navigation signal quality. Sci China Tech Sci, 2016, 59: 1137–1146

    Article  Google Scholar 

  12. Jin Z, Zhang C, Xu Z, et al. Simple approach to determining parameters of noncommensurate sampling for optimal pseudo-noise code phase delay discrimination. Electron Lett, 2014, 50: 283–284

    Article  Google Scholar 

  13. Lo Presti L, Zhu X, Fantino M, et al. GNSS signal acquisition in the presence of sign transition. IEEE J Sel Top Signal Process, 2009, 3: 557–570

    Article  Google Scholar 

  14. Liu Y, Ran Y, Ke T, et al. Code tracking performance analysis of GNSS signal in the presence of CW interference. Signal Process, 2011, 91: 970–987

    Article  MATH  Google Scholar 

  15. Balaei A T, Dempster A G, Presti L L. Characterization of the effects of CW and pulse CW interference on the GPS signal quality. IEEE Trans Aerosp Electron Syst, 2009, 45: 1418–1431

    Article  Google Scholar 

  16. Kaplan E, Hegarty C. Understanding GPS: Principles and Applications. 2nd ed. London: Artech House, 2005. 141–148

    Google Scholar 

  17. Liu H, Zhang R F, Liu J N, et al. Time synchronization in communication networks based on the Beidou foundation enhancement system. Sci China Tech Sci, 2016, 59: 9–15

    Article  Google Scholar 

Download references

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Correspondence to YiKang Yang.

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Yang, J., Yang, Y., Li, J. et al. Analysis of noncommensurate sampling effects on the performance of PN code tracking loops. Sci. China Technol. Sci. 61, 893–905 (2018). https://doi.org/10.1007/s11431-017-9199-8

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  • DOI: https://doi.org/10.1007/s11431-017-9199-8

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