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An Improved Channel Estimation in a TD-SCDMA System Based on the Threshold of Detect Energy and its Performance Analysis

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Abstract

B. Steiner estimator used in the time-division synchronous code-division multiple access (TD-SCDMA) system is a low cost estimator. The precision of the estimated channel impulse responses (CIRs) is affected by noises in the channel, which result in worse performance of the estimation. For the reason that there are many threshold processing algorithms based on Steiner algorithm, the optimal threshold value becomes a crucial factor. In this paper, based on statistical information of channel in the data field, an improved channel estimation algorithm is proposed by detecting energy of CIR’s tap in time-domain, and the amplitude of estimated channel impulse response is adjusted by a gain coefficient. Simulation results prove the validity of the proposed technique for channel estimation good performance. Additionally, it is shown that the improved estimators outperform traditional channel estimators.

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References

  1. Liu, G., Zhang, J., Zhang, P., Wang, Y., Liu, X., & Li, S. (2006). Evolution map from TD-SCDMA to future B3G TDD. IEEE Communications Magazine, 44(3), 54–61.

    Article  MathSciNet  Google Scholar 

  2. Peng, M., Wang, W., & Chen, H. H. (2010). TD-SCDMA evolution. IEEE Vehicular Technology Magazine, 5(2), 28–41.

    Article  Google Scholar 

  3. Song, X., Li, K., & Hu, A. (2007). Two-stage channel estimation algorithm for TD-SCDMA system employing multi-cell joint detection. Circuits, Systems and Signal Processing, 26(6), 76–80.

    Article  MathSciNet  Google Scholar 

  4. Shaoli, K., Zhengding, Q., & Shihe, L.I. (2002). Improvement of the low-cost channel estimation method used in TD-SCDMA system. Journal of China Institution of Communications, 23(10).

  5. Physical Channels and Mapping of Transports Channels Onto Physical Channels (TDD). (2002). 3rd generation partnership project (3GPP) technical specification group radio access network 3GPP TS 25.221, Rev. 4.7.

  6. Spreading and Modulation (TDD). (2002). 3rd generation partnership project (3GPP) technical specification.

  7. See, C. S., Cowan, C. F. N., & Nehorai, A. (1999). Spatiotemporal channel identification and equalization in the presence of strong co-channel interference. Signal Processing, 78, 127–138.

    Article  MATH  Google Scholar 

  8. Steiner, B., & Baier, P. (1993). Low cost channel estimation in the uplink receiver of CDMA mobile radio systems [J]. Frequenz, 47(12), 292–298.

    Google Scholar 

  9. Steiner, B., & Jung, P. (1994). Optimum and suboptimum channel estimation for the uplink of CDMA mobile radio systems with joint detection [J]. European Transactions on Telecommunications, 5(1), 39–50.

    Article  Google Scholar 

  10. KANG, S.-L., Qiu, Z.-D., & Li, S.-H. (2002). Improvement of the low-cost channel estimation method used in TD-SCDMA system [J]. Journal on Communications, 23(10), 108–113.

    Google Scholar 

  11. Yong-yu, Chang, Li-li, Huang, & Da-cheng, Yang. (2005). Performance analysis improvement of the channel estimation algorithm in the TD-SCDMA system [J]. Journal of Electronics and Information Technology, 27(7), 1110–1113.

    Google Scholar 

  12. Hou, J., Tang, L. (2010). An improved channel estimation algorithm of TD-SCDMA system. Critical Infrastructure (CRIS), 5th International Conference. 20–22, pp:1–5.

  13. Frank, A. D., & Wolfang, U. (2005). Pilot-assisted channel estimation based on second-order statistics. IEEE Transactions on Signal Processing, 53(3), 1178–1193.

    Article  MathSciNet  Google Scholar 

  14. Wu, J. X., Xiao, C. S., & Letaief, K. B. (2005). Multiuser channel estimation for CDMA systems over frequency-selective fading channels. IEEE Transactions on Wireless Communications, 4(4), 1724–1736.

    Article  Google Scholar 

  15. Marzook, A. K., Ismail, A., Ali, B. M., Sali, A., & Khatun, S. (2013). Singular value decomposition rank-deficient-based estimators in TD-SCDMA systems. Circuits, Systems, and Signal Processing, 32(1), 205–221.

    Article  MathSciNet  Google Scholar 

  16. Marzook, Ali K., Ismail, A., Ali, B. M., Sali, A., & Khatun, S. (2013). Reduced rank technique for joint channel estimationand joint data detection in TD-SCDMA systems. Wireless Personal Communication, 69, 1629–1646.

    Article  Google Scholar 

  17. Cao, W., Yu, X., & Wang, W. (2004). A novel channel estimation algorithm with PN training sequence in TD-SCDMA systems. Communications, Circuits and Systems, 2, 847–850.

    Google Scholar 

  18. Song, X., Li, K. (2008). Improved channel estimation algorithm based on parallel interference cancellation. Neural Networks and Signal Processing, p. 466.

  19. 3GPP TS 25.221, V7.4.0. (2007). Physical channels and mapping of transport channels onto physical channels (TDD).

  20. Klein, A., Kaleh, G. W., & Baier, P. W. (1996). Zero forcing and minimum mean-square-error equalization for multiuser detection in code-division multiple-access channels. IEEE Transactions on Vehicular Technology, 45(2), 276–287.

    Article  Google Scholar 

  21. Guo-song, Li, & Zheng-OU, Zhou. (2005). An algorithm to reduce MSE of LS channel estimation in mobile OFDM system. Journal of Electronics Information Technology, 27(9), 1454–1458.

    Google Scholar 

  22. Xuan, Lu. (1998). Mathematical statistics foundation. Beijing: Tsinghua University Press.

    Google Scholar 

  23. Sun, Xiaoliang. (2010). Research on channel estimation based on training sequence in TD-SCDMA system. postgraduate dissertation Beijing University of Posts and Telecommunications.

Download references

Acknowledgments

The authors would like to acknowledge the anonymous reviewers for their thorough review and constructive suggestions, which significantly helped to improve the quality of the manuscript.

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Correspondence to Tongliang Fan.

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Fan, T., Huang, S., Sun, Y. et al. An Improved Channel Estimation in a TD-SCDMA System Based on the Threshold of Detect Energy and its Performance Analysis. Wireless Pers Commun 82, 1773–1787 (2015). https://doi.org/10.1007/s11277-015-2312-7

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  • DOI: https://doi.org/10.1007/s11277-015-2312-7

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