[go: up one dir, main page]
More Web Proxy on the site http://driver.im/ Skip to main content
Springer Nature Link
Log in

Performance Analysis of Multiband OFDM System Over Ultra Wide Band Channels Using Kalman Filter

  • Published:
Wireless Personal Communications Aims and scope Submit manuscript

Abstract

In this paper a modified version of Saleh-Valenzuela (S-V) channel model has been proposed for Ultra Wide Band (UWB) Orthogonal Frequency Division Multiplexing (OFDM) system and the performance has been estimated. In the proposed model, Poisson process has been modified for ray arrival rate and found that the proposed model is optimum for modeling ray arrival rate as compared to S-V model. Also Nakagami fading distribution has been considered in UWB channel model which suits for time varying multipath radio environment. The performance of the proposed channel model has been statistically analyzed over multiband OFDM by considering frequency domain channel estimation technique. The estimated coefficients have been tracked using Kalman filter technique and found that it gives more accurate prediction of channel coefficients as compared with Least Squares and Minimum Mean Square Estimation channel estimation techniques.

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
£29.99 /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 includes VAT (United Kingdom)

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. Fan, X., Leng, B., Zhang, Z., & Guangguo, B. I. (2006). Modified UWB channel estimation. IEEE, 1 1–6.

  2. Maret, L., Siaud, I., & Wideband, U. (2005). MBOA phy layer performance analysis and enhanced issuses ECPS 2005 conference Brest, France.

  3. Turin, W., Jana, R., & Tarokh, V. (2005). Autoregressive modeling of an indoor UWB channel. UWBST, 4, 16–20

  4. Zelenovic V., Wideband U. (2005) Channel modelling. Norwegian University of Science and Technology, Norway

    Google Scholar 

  5. Saleh A., Valenzuela R. (1987) A statistical model for indoor wireless multipath propagation. IEEE JSAC SAC-5(2): 128–137

    Google Scholar 

  6. Molisch , A. F. (2003) Channel models for ultra wideband personal area networks. IEEE Wireless Communications, 1: 14–21

    Article  Google Scholar 

  7. Hayar A.M., Vitetta G.M. (2007) Channel models for ultra-wideband communications: An overview IST network of excellance. NEWCOM 1: 1–5

    Google Scholar 

  8. Liano G., Reing J., Rubio L. (2009) The UWB-OFDM channel analysis in frequency. IEEE Latina America Transactions 7(1): 63–67

    Google Scholar 

  9. Karedal, J., Wyne, S., & Almers, P. (2005). In Fredrik Tufvession, A. F. Moisch (Ed.). Statistical analysis of the UWB channel in industrial enviroment. IEEE Vehicular Technology

  10. Mehbodniya A., Aissa S. (2009) Ultra wideband technologies coexistence in Nakagami-m fading channels. IET Communications, 3(7): 1081–1088

    Article  Google Scholar 

  11. Foersher J. R., Pendergrass M., Moslich A. F. (2006) A channel model for ultra wideband indoor communication. IEEE 7: 31–35

    Google Scholar 

  12. Welch, G., & Bishop, G. (2006). An introduction to the Kalman filter. Chapel Hill: UNC, TR 95-041.

  13. RiazulIslamS.M.Sup Kwak K. (2010) Winner-Hopf interpolation aided Kalman filter-based channel estimation for MB-OFDM UWB systems in time varying dispersive fading channel. ICTACT 2: 191–201

    Google Scholar 

  14. Doukopoulos X. G., Moustakides G. V. (2004) Blind adaptive channel estimation in OFDM systems. IEEE ICC 2004 4: 20–24

    Google Scholar 

  15. Kalman R. E. (1995) A new approach to linear filtering and prediction problems. Transaction of the ASME, (Series D) 82: 32–45

    Google Scholar 

  16. Ozdemir, M. K., & Arslan, H. (2007). Channel estimation for wireless OFDM systems. IEEE Communications, 9(2), 16–48 (2nd quarter).

    Google Scholar 

  17. Tesi, R., & Hämäläinen, M. (2007). In J. Iinatti & V. Hovinen (Eds.), On the performance comparison of different UWB data modulation schemes in AWGN channel in the presence of jamming, IEEE Transactions on Communications.

  18. Coleri, S., Ergen, M., Puri, A., & Bahai, A. (2002). A study of channel estimation in OFDM systems. IEEE.

  19. Doukopoulos X.G., Moustakides G.V. (2004) Blind adaptive channel estimation in OFDM systems. IEEE ICC 2004(4): 20–24

    Google Scholar 

  20. Jie, W., Ke, S., & Liangcheng, J. (2008). Algorithms of channel estimation and tracking in MB-OFDM UWB system. IEEE.

  21. Wang Z., Yan X., Xiaodong W. (2010) A low-complexity and efficient channel estimator for multiband OFDM-UWB sytems. IEEE Transactions on Vehicular Technnology 59(3): 152–159

    Google Scholar 

  22. Zhou W., Lam W.-H. (2010) Channel estimation and data detection over fast fading and dispersive channels. IEEE Transactions on Vehicular Technnology 59(3): 163–167

    MathSciNet  Google Scholar 

  23. Liu Y., Peng Q., Shao H. Z., ChenX.F. Wang L. (2009) Blind channel of subcarrier number in multiband OFDM ultra wide band communications system. IEEE proceedings of IC-NIDC 6: 71–75

    Google Scholar 

  24. Barrera M., Betancur L., Navarro A. (2009) A novel SNR estimation algorithm for MB OFDM ultra wide band communications. IEEE 7: 15–21

    Google Scholar 

  25. Hijazi H., Ros L. (2009) Joint data QR-detection and Kalman estimation for OFDM time varying Rayliegh channel complex gains. IEEE Transactions on Communications 58(1): 77–81

    Google Scholar 

  26. Cimini L. J. Jr. (1985) Analysis and simulation of digital mobile channel using orthogonal frequency division multiplexing. IEEE Transactions on Communications 33(7): 665–675

    Article  Google Scholar 

  27. Nam, S.-H., Kim, H. W., Kang, K., Ahn, D.-S., & Lee, H.-J. (2010). Quasi-Newton based Kalman filter channel estimation for OFDM systems. IEEE 2010.

Download references

Author information

Authors and Affiliations

  1. Centre for Advanced Research, Electronics and Communication Engineering, Muthayammal Engineering College, Rasipuram, 637408, Tamil Nadu, India

    C. Venkatesh & M. Madheswaran

Authors
  1. C. Venkatesh
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. M. Madheswaran
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to M. Madheswaran.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Venkatesh, C., Madheswaran, M. Performance Analysis of Multiband OFDM System Over Ultra Wide Band Channels Using Kalman Filter. Wireless Pers Commun 68, 1121–1134 (2013). https://doi.org/10.1007/s11277-012-0750-z

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11277-012-0750-z

Keywords

Search

Navigation