Skip to main content

Advertisement

Springer Nature Link
Log in

Research on Blind Identification Method of Error Correcting Code Type

  • Published:
Wireless Personal Communications Aims and scope Submit manuscript

Abstract

Based on the distribution of run feature and rank difference feature of coding sequence, this paper proposed a method to identify the type of common coding sequence. Using the concept of run distribution in combination with analysis of random nature within the coding sequence, it can be distinguished that if the encoding type belongs to block codes or others. Based on the structural features of turbo codes, rank difference analysis following the split of the coding sequence can distinguish the encoding type from convolutional and turbo codes. Herein we describe simulation experiment, the results of which demonstrate the validity and applicability of the proposed method.

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

Access this article

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

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

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11

Similar content being viewed by others

References

  1. Zhang, Y., & Lou, C. (2010). Channel coding and recognition analysis. Beijing: Publishing House of Electronics Industry.

    Google Scholar 

  2. Gallager, R. G. (1963). Low density cheek codes. Cambridge, Mass.: MIT Press.

    Google Scholar 

  3. Li, Y. (2009). Study on encoding and decoding algorithm of LDPC code based on WiMAX (p. 06). Harbin: Harbin Institute of Technology.

    Google Scholar 

  4. Vladislav, S., Kschischang, F. R., & Pasupathy, S. (2000). Gallager codes for CDMA applications. IEEE Transactions on Communications, 48(11), 1818–1828.

    Article  MATH  Google Scholar 

  5. Li, H. (2007). Encoding and implementation of LDPC codes in the DVB-S2. Changsha: Information and Communication Engineering Graduate School of National University of Defense Technology.

    Google Scholar 

  6. Wang, K. (2013). The design of high performance LDPC codes and its application for cognitive radio networks. Beijing: Beijing Jiaotong University.

    Google Scholar 

  7. Yang, X., & Gan, L. (2012). Blind estimation algorithm of the linear block codes parameters based on WHT. Journal of Electronics and Information Technology, 34(7), 1642–1646.

    Article  Google Scholar 

  8. Zhang, C., Wanquan, P., & Bo, W. (2014). Construction of a new class of (2k,k,1) convolutional codes. Journal on Communications, 35(6), 200–206.

    Google Scholar 

  9. Qi, T. (2013). Research on convolutional code based on 3G. Wuhan: Central China Normal University.

    Google Scholar 

  10. He, X. (2013). Design and optimization of pseudo random interleaver in turbo code. Hangzhou: Hangzhou Dianzi University.

    Google Scholar 

  11. Xu, Z., Zhang, K., Lu, Q., & Leng, G. (2001). Matrix theory concise guide. Beijing: Science Press.

    Google Scholar 

  12. Bringer, J., & Chabanne, H. (2012). Code reverse engineering problem for identification codes. IEEE Transactions on Information Theory, 58(4), 2406–2412.

    Article  MathSciNet  MATH  Google Scholar 

  13. Moosavi, R., & Larson, E. G. (2011). A fast scheme for blind identification of channel codes. In Global telecommunications conference (pp. 1–5). Linkoping.

  14. Park, S.-J., & Jeon, J.-H. (2009). Interleaver optimization of convolutional turbo coder for 802.16 systems. IEEE Communications Letters, 5(13), 339–341.

    Article  Google Scholar 

  15. Shaker, S. W. (2014). DVB-RCS: Efficiently quantized turbo decoder. ICACT Transaction on Advanced Communications Technology, 2(3), 426–433.

    Google Scholar 

  16. Debessu, Y. G., Wu, H.-C., & Jiang, H. (2012). Novel blind encoder parameter estimation for turbo codes. IEEE Communications Letters, 12(16), 1917–1920.

    Article  Google Scholar 

  17. Xie, H., Wang, F. H., & Huang, Z. T. (2013). A method for blind recognition of convolutional interleaver. Journal of Electronics and Information Technology, 35(8), 1952–1957.

    Article  Google Scholar 

  18. Wang, X., & Xiao, G. (2006). Error correcting code—Principle and method. Xian: Xidian University Press.

    Google Scholar 

  19. Qi, L., Hao, S., & Li, J. (2011). Recognition method of RS codes based on Euclidean algorithm in galois field. Journal of Detection and Control, 33(2), 63–67.

    Google Scholar 

  20. Wen, N., Yang, X., & Bai, Y. (2011). A new recognition method of RS codes. Electronic Information Warfare Technology, 26(2), 36–40.

    Google Scholar 

  21. Zhou, P., & Gan, L. (2013). Blind recognition and parameter estimation of cyclic codes (p. 5). Chengdu: University of Electronic Science and Technology of China.

    Google Scholar 

  22. Liu, J., & Yang, X. (2013). Research on channel coding of convolutional codes. Hefei: Electronic Engineering Institute.

    Google Scholar 

  23. Chai, X., Cai, K., Lv, S., et al. (2010). Research on blind identification of convolutional codes. Journal of Circuits and Systems, 15(4), 38–44.

    Google Scholar 

  24. Wei, Y. (2013). Research on the decoding algorithms of channel codes in 3GPP UMTS and LTE systems. Shanghai: Shanghai Jiaotong University.

    Google Scholar 

  25. Wang, D., & Kobasyashi, H. (2009). Low-complexity MAP decoding for turbo codes. In Proceedings of IEEE vehicular technology (pp. 1035–1039).

  26. Reng, D. (2013). High speed turbo decoding and cooperative spectrum sensing for next generation wireless communications. Xian: Xidian University.

    Google Scholar 

  27. Li, X. (2011). Key technologies of protocol identification for CCSDS data link layer. Beijing: Center for Space Science and Applied Research Chinese Academy of Sciences.

    Google Scholar 

Download references

Acknowledgements

This work was supported by the National Natural Science Foundation of China (No. 61171170) and Natural Science Foundation of Anhui Province (No. 1408085QF115).

Author information

Authors and Affiliations

  1. Electronic Engineering Institute, Hefei, 230037, Anhui, China

    Xin-hao Li, Min Zhang & Quan Yuan

  2. Key Laboratory of Anhui Electronic Restricting Technique, Hefei, 230037, Anhui, China

    Xin-hao Li, Min Zhang & Quan Yuan

Authors
  1. Xin-hao Li
    View author publications

    You can also search for this author inPubMed Google Scholar

  2. Min Zhang
    View author publications

    You can also search for this author inPubMed Google Scholar

  3. Quan Yuan
    View author publications

    You can also search for this author inPubMed Google Scholar

Corresponding author

Correspondence to Xin-hao Li.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Li, Xh., Zhang, M. & Yuan, Q. Research on Blind Identification Method of Error Correcting Code Type. Wireless Pers Commun 96, 6147–6160 (2017). https://doi.org/10.1007/s11277-017-4469-8

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11277-017-4469-8

Keywords