Skip to main content
SpringerLink
Log in

A PN sequence estimation algorithm for DS signal based on average cross-correlation and eigenanalysis in lower SNR conditions

  • Research Papers
  • Published:
Science China Information Sciences Aims and scope Submit manuscript

Abstract

According to the demand of spread spectrum signal processing in lower SNR conditions, a novel algorithm for blind estimation of the pseudo-noise (PN) sequence of the direct sequence spread spectrum (DSSS) signal is proposed based on the similarities among the DSSS signals and the eigenanalysis technique. Firstly, through segmentation processing and average cross-correlation calculation, the starting symbol of PN sequence is determined. Then, by utilizing the eigenanalysis technique PN sequence can be estimated accurately without any information of the DSSS signal. By theoretical analysis and logical deduction, two conclusions about the estimation efficiency and estimation error between the proposed algorithm and the existing algorithms are presented and proved. Simulation results show that compared with the existing algorithms under the same condition, the proposed algorithm not only overcomes the partial-encode problem, but also improves estimation performance by 2 dB, which indicates that the proposed algorithm achieves an accurate estimation of PN sequence in lower SNR conditions.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. Yavuz D. Meteor burst communications. IEEE Commun Mag, 1990, 28: 40–48

    Article  Google Scholar 

  2. Li Z, Chen Y X, Diao S L, et al. A receiver for meteor burst communication based on equalizer coefficients direct adaptation via channel acquisition. Acta Elect Sin, 2005, 33: 1729–1733

    Google Scholar 

  3. Xu S Z, Yang H Z, Wang H. Application of DAPSK in HF communications. IEEE Commun Lett, 2005, 9: 613–615

    Article  Google Scholar 

  4. Davies N C, Maundrell M J, Arthur P C. Modern aircraft HF communications into the 21st century. In: Proc IEE Colloquium on Air-To-Ground Commun. London, 1997. 2/1–2/9

  5. Dilaveroglu E, Ertas T. Low-SNR asymptote of CRB on SNR estimates for BPSK in nakagami-m fading channels with diversity combining. Electron Lett, 2003, 39: 1680–1680-2

    Article  Google Scholar 

  6. Lu J F, Song H W, Vijaya K. Timing acquisition or low-SNR data storage channels. IEEE Trans Mag, 2003, 39: 2558–2560

    Article  Google Scholar 

  7. Nilsson J E M. Coding of spread spectrum signals for HF communications. In: Proc IEEE MILCOM’95, Sweden, 1995. 352–356

  8. Hang T Q, Lin X K, Zhou Z Z. A new method for periodic and sequence estimation of the PN code in the lower SNR DS/SS signals. Chin J Radio Sci, 2005, 20: 400–405

    Google Scholar 

  9. Sun J W, Shen Q F, Yuan L. A new segment correlation and amplitude accumulation method of direct sequence spread spectrum signal pseudo random code period. Mod Def Technol, 2006, 34: 73–75

    Google Scholar 

  10. Zi X J, Xie D, Yi K C. The duration estimation of the PN sequence of DSSS signal based on fourth-order cumulant. Electron Inf Warfare Technol, 2006, 21: 18–21

    Google Scholar 

  11. Zhang T Q, Zhou Z Z, Guo Z X. A method for the PN code sequence estimation of DS/SS signals based on neural network method. Signal Process, 2001, 17: 533–537

    Google Scholar 

  12. Yang B. Projection approximation subspace tracking. IEEE Trans Signal Process, 1995, 43: 95–107

    Article  MATH  Google Scholar 

  13. Zhang H B, Lu M. Blind estimation of PN spreading sequence based on subspace tracking. Syst Eng Electron, 2006, 28: 1470–1473

    Google Scholar 

  14. Gilles B, Bouder C. Blind estimation of the pseudo-random sequence of a direct sequence spread spectrum signal. In: Proc IEEE MILCOM’00, Los Angeles, 2000. 967–970

  15. Zhang T Q, Lin X K, Zhou Z Z. Blind estimation of the PN sequence in lower SNR DS/SS signels. IEICE Trans Commun, 2005, 88: 3087–3089

    Article  Google Scholar 

  16. Zhang T Q, Zhou Z Z, Chen Q B, et al. Particular eigen-structure of DS-SS signals under narrow band interferences. J Data Acqui Process, 2007, 22: 31–37

    Google Scholar 

  17. Zhang J, Zhan Y. A method for blind estimation of PN sequence in negative SNR DSSS signal. Commun Count, 2006, (2): 10–13

    Google Scholar 

  18. Scholtz R. The spread spectrum concept. IEEE Trans Commun, 1977, 25: 748–755

    Article  MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. State Key Laboratory of Integrated Service Networks, School of Telecommunications Engineering, Xidian University, Xi’an, 710071, China

    LiPing Wu, Zan Li, JianDong Li & Chen Chen

Authors
  1. LiPing Wu
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Zan Li
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. JianDong Li
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Chen Chen
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to LiPing Wu.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Wu, L., Li, Z., Li, J. et al. A PN sequence estimation algorithm for DS signal based on average cross-correlation and eigenanalysis in lower SNR conditions. Sci. China Inf. Sci. 53, 1666–1675 (2010). https://doi.org/10.1007/s11432-010-4023-8

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11432-010-4023-8

Keywords

Search

Navigation