Skip to main content
SpringerLink
Log in

Adaptive Windowed Statistical Selection Rake for Long Ultra-Wideband Multipath Channels

  • Published:
Wireless Personal Communications Aims and scope Submit manuscript

Abstract

Under ultra-wideband indoor channels, the characteristic of fine multipath resolution allows Rake collectors to combine the multipaths as well as to maximize the signal-to-noise ratio effectively. However, the presence of long multipaths in ultra-wideband channels usually gives rise to severe interference at the receiver end. Hence, the performance of the received signals cannot be improved further because the conventional Rake receivers do not take into account the long multipath effect. In this paper, we propose to shorten the long multipath propagation by minimizing the variance of the distribution of the received signals. The new proposed statistical selection Rake receiver is capable of selecting the most significant combining paths in order to achieve a minimum variance distribution. Further improvement has been done to reduce the computational complexity by introducing two different type of adaptive windowed statistical selection schemes. The performance of all proposed schemes has been simulated under ultra-wideband IEEE P802.15.3a standard channel models. From the results, the proposed Rake receivers are able to minimize the long multipath effect significantly by achieving more than 50% reduction of the variance distribution as compared to the other Rake receivers.

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
Fig. 10

Similar content being viewed by others

References

  1. Emami, S. (2013). An UWB communication systems: conventional and 60 Hz: Principle, design and standards. New York: Springer.

    Google Scholar 

  2. Nikookar, H., & Prasad, R. (2010). Introduction to ultra wideband for wireless communications (signals and communication theory). Netherlands: Springer.

    Google Scholar 

  3. Kshetrimayum, R. (2009). An introduction to UWB communication systems. IEEE Potentials, 28(2), 9–13.

    Article  Google Scholar 

  4. Molisch, A. F. (2012). Wireless communications (2nd ed.). Wiley.

  5. Kumar, S. (2015). Wireless communications fundamental and advanced concepts: Design planning and applications. Denmark: River Publishers.

    Google Scholar 

  6. Foerster, J. R. (2002). Channel modeling sub-committee report final. IEEE 802.15.SG3a.

  7. Konstantinos, B. B. (2012). The rake receiver principle: Past, present and future. Recent Patents on Electrical & Electronic Engineering (Formerly Recent Patents on Electrical Engineering), 5(1), 55–71.

    Google Scholar 

  8. Cassioli, D., Win, M. Z., Vatalaro, F., & Molisch, A. F. (2007). Low complexity rake receivers in ultra-wideband channels. 4th. IEEE Transactions on Wireless Communications, 6(4), 1265–1275.

    Article  Google Scholar 

  9. Kang, X. F., & Li, B. P. (2014). The BER performance analysis and simulation of rake receivers for UWB systems. In IEEE workshop on advanced research and technology in industry applications, pp. 267–269.

  10. Mian, Z. Z. (2008). Performance evaluation of rake receivers using ultra wideband multipath channels. Dissertation, Blekinge Institute of Technology.

  11. Malk, W. Q. (2008). Multipath effects in ultrawideband rake reception. IEEE Transactions on Antenna and Propagation, 56(2), 507–514.

    Article  Google Scholar 

  12. Yang, L., Ji, M., Gao, Z., & Zhang, W. (2011). Simulation research on the performance of IR-UWB rake receivers. In 2nd international conference on MACE, pp. 4392–4396.

  13. Das, B., & Das, S. (2009). Rake-MMSE time domain equalizer for high data rate UWB communication system. In IEEE India conference, pp. 1–4.

  14. Dutta, A. K., & Hari, K. V. S. (2011). Channel estimation using minimum bit error rate framework for BPSK signals. In IEEE 73rd vehicular technology conference, pp. 1–5.

  15. Molisch, A. F. (2012). Wireless communications (2nd ed.). Springer.

  16. Kreyszig, E. (2011). Advanced engineering mathematics (10th ed.). Wiley.

  17. Gallian, J. A. (2016). Contemporary abstract algebra (9th ed.). Cengage Learning.

Download references

Author information

Authors and Affiliations

  1. Faculty of Engineering, Multimedia University, Jalan Multimedia, 63100, Cyberjaya, Selangor, Malaysia

    Gwo C. Chung, Sandar T. Su & Mohamad Y. Alias

Authors
  1. Gwo C. Chung
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Sandar T. Su
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Mohamad Y. Alias
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Gwo C. Chung.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Chung, G.C., Su, S.T. & Alias, M.Y. Adaptive Windowed Statistical Selection Rake for Long Ultra-Wideband Multipath Channels. Wireless Pers Commun 98, 453–466 (2018). https://doi.org/10.1007/s11277-017-4878-8

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11277-017-4878-8

Keywords

Search

Navigation