Skip to main content
SpringerLink
Log in

Jointly RVM Based Channel Estimation and PAPR Reduction Using Modified Tabu Search Algorithm in Power Line Communication Systems

  • Published:
Wireless Personal Communications Aims and scope Submit manuscript

Abstract

Power line communication (PLC) channel as a transmitting medium for high speed data communication based on orthogonal frequency division multiplexing (OFDM) is demonstrated. High peak to average power ratio (PAPR) in OFDM, frequency selectivity and impulsive noise in PLC channel are the most important challenges that should be taken into consideration. In this paper, a new SFTS algorithm with low searching complexity is applied to popular PTS method to reduce the PAPR parameter in which there is no need to send any side information. Also, the robust relevance vector machine based channel estimation is jointly used with the PAPR reduction. Our proposed channel estimation algorithm is based on sparse Bayesian learning with a sigmoid function as a new multi-kernel with proper initial hyper-parameters. It improves BER and MSE performances in PLC channels contaminated by impulsive noises. Proposed jointly PAPR reduction and channel estimation without any side information achieves good results comparing to parallel Tabu search PAPR reduction and Huang channel estimation algorithms. It is shown that in our proposed PAPR reduction algorithm about 1.5 and 4.5 dB improvements are obtained with considerable searching complexity reduction comparing to the parallel Tabu search method and conventional OFDM, respectively. Also, about 2 dB improvement achieved in SNIR for BER = 10−3 of proposed channel estimation algorithm comparing to LS method and 5 dB enhancement in MSE comparing to Huang method.

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

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

Similar content being viewed by others

References

  1. Ryu, H. G., & Sok, P. J. (2004). Threshold IBO of HPA in the predistorted OFDM communication system. IEEE Transactions on Broadcasting, 50(4), 425–428.

    Article  Google Scholar 

  2. Thompson, S. C., Proakis, J. G., & Zeidler, J. R. (2005). The effectiveness of signal clipping for PAPR and total degradation reduction in OFDM systems. Global Telecommunication Conference, pp. 2807–2811.

  3. Armstrong, J. (2002). Peak-to-average power reduction for OFDM by repeated clipping and frequency domain filtering. Electronics Letters, 38(5), 246–247.

    Article  MathSciNet  Google Scholar 

  4. Tellado-Mourelo, J. (1999). Peak to average power ratio reduction for multicarrier modulation. Dissertation, Stanford University.

  5. Krongold, B. S., & Jones, D. L. (2003). PAR reduction in OFDM via active constellation extension. IEEE Transactions on Broadcasting, 49(3), 258–268.

    Article  Google Scholar 

  6. Kou, Y. J., Lu, W. S., & Antoniou, A. (2007). A new peak-to-average power-ratio reduction algorithm for OFDM systems via constellation extension. IEEE Transactions on Wireless Communications, 6(5), 1823–1832.

    Article  Google Scholar 

  7. Jones, E., Wilkinson, T. A., & Barton, S. K. (1994). Block coding scheme for reduction of peak to mean envelope power ratio of multicarrier transmission schemes. Electronics Letters, 30(25), 2098–2099.

    Article  Google Scholar 

  8. Jones, A. E., & Wilkinson, T. A. (1996). Combined coding for error control and increased robustness to system nonlinearities in OFDM (pp. 904–908). Atlanta, GA: Proc. IEEE VTC.

    Google Scholar 

  9. Breiling, M., Muller, S. H., & Huber, J. B. (2001). SLM peak-power reduction without explicit side information. IEEE Communications Letters, 5(6), 239–241.

    Article  Google Scholar 

  10. Muller, S. H., Bauml, R. W., Fischer, R. F. H., & Huber, J. B. (1997). OFDM with reduced peak-to-average power ratio by multiple signal representation. Annals of Telecommunications, 52(1–2), 58–67.

    Google Scholar 

  11. Muller, S. H., & Huber, J. B. (1997). OFDM with reduced peak-to-average power ratio by optimum combination of partial transmit sequences. Electronics Letters, 33(5), 368–369.

    Article  Google Scholar 

  12. Cimini, L. J., & Sollenberger, N. R. (2000). Peak-to-average power ratio reduction of an OFDM signal using partial transmit sequences. IEEE Communications Letters, 4(3), 86–88.

    Article  Google Scholar 

  13. Yang, L., Chen, R. S., Siu, Y. M., & Soo, K. K. (2006). PAPR reduction of an OFDM signal by use of PTS with low computational complexity. IEEE Transactions on Broadcasting, 52(1), 83–86.

    Article  Google Scholar 

  14. Jayalath, A. D. S., Tellambura, C., & Wu, H. (2000). Reduced complexity PTS and new phase sequences for SLM to reduce PAP of an OFDM signal. Proceedings of IEEE VTC, 3, 1914–1917.

    Google Scholar 

  15. Lixia, M., & Murroni, M. (2011). Peak-to-average power ratio reduction in multi-carrier system using genetic algorithms. IET Signal Processing, 5(3), 356–363.

    Article  Google Scholar 

  16. Taspinar, N., Kalinli, A., & Yildrim, M. (2011). Partial transmit sequences for PAPR reduction using parallel tabu search algorithm in OFDM systems. IEEE Communications Letters, 15(9), 974–976.

    Article  Google Scholar 

  17. Biglieri, E. (2003). Coding and modulation for a horrible channel. IEEE Communications Magazine, 41(5), 92–98.

    Article  MathSciNet  Google Scholar 

  18. Dostert, K. (2000). Multipath model for the power line channel. IEEE Transactions on Communications, 50, 553–559.

    Google Scholar 

  19. Lampe, L., & Huber, J. (2000). Bandwidth efficient power line communications based on OFDM. AEU-Arch. Elektr. Ubertragungstech, 54, 2–12.

    Google Scholar 

  20. Grando, J., Torralba, A., Chavez, J., & Baena-Lecuyer, V. (2007). Multi-carrier receiver for broadband power line communications. IEEE Transactions on Consumer Electronics, 53(4), 1293–1301.

    Article  Google Scholar 

  21. Edfors, O., Sandel, M., Van de Beek, J. J., Wilson, S. K., & Borjesson, P. O. (1998). OFDM Channel estimation by Singular value decomposition. IEEE Transactions on Communications, 46(7), 931–939.

    Article  Google Scholar 

  22. Negi, R., & Cioffi, J. (1998). Pilot tone selection for channel estimation in a mobile OFDM system. IEEE Transactions on Consumer Electronics, 44(3), 1122–1128.

    Article  Google Scholar 

  23. Cichocki, A., & Amari, S. (2003). Adaptive blind signal and image processing. New York, NY: Wiley.

    Google Scholar 

  24. Bueche, D., Corlay, P., Gazalet, M., & Coudoux, F. X. (2008). A method for analyzing the performance of comb-type pilot-aided channel estimation in power line communications. IEEE Transactions on Consumer Electronics, 54(3), 1074–1081.

    Article  Google Scholar 

  25. Oliveira, T. R., Finamore, W. A., & Ribeiro, M. V. (2013). A sounding method based on OFDM modulation for PLC channel measurement. Symposium IEEE (ISPLC), 24–27 March, pp. 85–190.

  26. Vanitha, D. R. (2013). Channel estimation and modeling of power line communication. M.Sc. Dissertation, National Institute of Technology Rourkela-769 008, Odisha, India.

  27. Mehboob, A., Li, Zhang, Khangosstar, J., & Suwunnapuk, K. (2013). Joint channel and impulsive noise estimation using compressive sensing for powerline communications. Symposium IEEE (ISPLC), 24–27 March, pp. 203–208.

  28. Huang, J., Wang, P., & Wan, Q. (2012). Robust approach for channel estimation in power line communication. Journal of Communications and Networks in South Korea, 14(3), 237–242.

    Article  Google Scholar 

  29. Tahat, A., & Galatsanos, N. (2010). Relevance Vector Machines for Enhanced BER in DMT Based Systems. Journal of Electrical and Computer Engineering, 2010, 1–8.

    Article  Google Scholar 

  30. Cho, Y. S., Kim, J., Yang, W. Y., & Kang, C. G. (2010). MIMO-OFDM wireless communications with MATLAB. New York, NY: Wiley.

    Book  Google Scholar 

  31. Philipps, H. (1999). Modelling of powerline communication channels. In Proceedings of 3rd International Symposium of Power-Line Communications and its Applications, Lancaster, UK, 30 March–1 April, pp. 14–21.

  32. Zimmermann, M., & Dostert, K. (2002). A multipath model for the power line channel. IEEE Transactions on Communications, 50(4), 553–559.

    Article  Google Scholar 

  33. Zimmermann, M., & Dostert, K. (2002). Analysis and modeling of impulsive noise in broad-band power line communications. IEEE Transactions on Electromagnetic Compatibility, 44(1), 249–258.

    Article  Google Scholar 

  34. Hensen, C., & Schulz, W. (2000). Time dependence of the channel characteristics of low voltage power-lines and its effects on hardware implementation. AEÜ International Journal of Electronics and Communications, 54(1), 23–32.

    Google Scholar 

  35. Nassar, M., Schniter, P., & Evans, B. L. (2014). A factor graph approach to joint OFDM channel estimation and decoding in impulsive noise environments. IEEE Transactions on Signal Processing, 62(6), 1576–1589.

    Article  MathSciNet  Google Scholar 

  36. Middleton, D. (1977). Statistical-physical models of electromagnetic interference. IEEE Transactions on Electromagnetic Compatibility, 19(3), 106–127.

    Article  Google Scholar 

  37. Beek, J. D., Edfors, O., Sandell, M., Wilson, S. K., & Borjesson, P. O. (1995). On channel estimation in OFDM systems. Proceedings of IEEE VTC, Chicago, USA, 2, 815–819.

    Google Scholar 

  38. Tipping, M. E. (2001). Sparse Bayesian learning and the relevance vector machine. The Journal of Machine Learning Research, 1, 211–244.

    MATH  MathSciNet  Google Scholar 

  39. Bishop, C. (2006). Pattern recognition and machine learning. Secaucus, NJ: Springer.

    MATH  Google Scholar 

  40. Berger, J. (1985). Statistical decision theory and bayesian analysis. New York: Springer.

    Book  MATH  Google Scholar 

  41. Taspinar, N., Kalinli, A., & Yildirim, M. (2011). Partial transmit sequences for PAPR reduction using parallel tabu search algorithm in OFDM systems. IEEE Communications Letters, 15(9), 974–976.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, Iran

    Mohammad Asadpour, Fatemeh Asghari Ajhiri, Behzad Mozaffari Tazehkand & Mir Hadi Seyedarabi

Authors
  1. Mohammad Asadpour
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Fatemeh Asghari Ajhiri
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Behzad Mozaffari Tazehkand
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Mir Hadi Seyedarabi
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Mohammad Asadpour.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Asadpour, M., Asghari Ajhiri, F., Mozaffari Tazehkand, B. et al. Jointly RVM Based Channel Estimation and PAPR Reduction Using Modified Tabu Search Algorithm in Power Line Communication Systems. Wireless Pers Commun 84, 2757–2775 (2015). https://doi.org/10.1007/s11277-015-2765-8

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11277-015-2765-8

Keywords

Search

Navigation