Skip to main content
Log in

A subspace-based blind detector with rapid channel tracking structure for TH-UWB systems over time-varying multi-path channels

  • Published:
Telecommunication Systems Aims and scope Submit manuscript

Abstract

In this paper, the applicability of the subspace-based blind adaptive detector in multiple access time-hopping ultra-wideband (TH-UWB) systems is investigated. The subspace-based blind adaptive detector is highly sensitive to sudden changes in a time-varying channel. The sudden changes in such an environment result in significant performance degradation of the adaptive detector and slow convergence to the steady state. To overcome this shortcoming, we propose a simple decision mechanism, called “decision timing instant” (DTI), to detect the sudden changes. The results show that the subspace-based blind adaptive detector with DTI mechanism can improve both the system performance and convergence speed over time-varying multi-path channels.

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

Access this article

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

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Win, M. Z., & Scholtz, R. A. (1998). Impulse radio: How it works. IEEE Communications Letters, 2(2), 36–38.

    Article  Google Scholar 

  2. Win, M. Z., & Scholtz, R. A. (2000). Ultra-wide bandwidth time-hopping spread-spectrum impulse radio for wireless multiple-access communications. IEEE Transactions on Communications, 48(4), 679–691.

    Article  Google Scholar 

  3. Cuomo, F., Martello, C., Baiocchi, A., & Capriotti, F. (2002). Radio resource sharing for ad-hoc networking with UWB. IEEE Journal on Selected Areas in Communications, 20(9), 1722–1732.

    Article  Google Scholar 

  4. Fishler, E., & Poor, H. V. (2005). On the tradeoff between two types of processing gains. IEEE Transactions on Communications, 53(10), 1744–1753.

    Article  Google Scholar 

  5. Gezici, S., Kobayashi, H., & Poor, H. V. (2004). A comparative study of pulse combining schemes for impulse radio UWB systems. In Proceeding of IEEE Sarnoff symposium (pp. 7–10), April 2004.

    Google Scholar 

  6. Cheng, C. H., Lin, J. Y., & Wen, J. H. (2009). O3-based linear decorrelating detector for asynchronous UWB systems over multipath fading channels. AEÜ. International Journal of Electronics and Communications, 63(3), 158–167.

    Article  Google Scholar 

  7. Han, S., Oh, E., Han, M., Woo, C., & Hong, D. (2009). Performance analysis of multistage interference cancellation for asynchronous TH-UWB systems in multipath fading channels. IEEE Transactions on Vehicular Technology, 58(3), 1177–1189.

    Article  Google Scholar 

  8. Cheng, C. H., Wen, J. H., Chen, Y. F., & Lin, J. Y. (2008). A robust interference cancellation technique for DS-UWB systems using fuzzy step size LMS algorithm. European Transactions on Telecommunications, 19(2), 207–217.

    Article  Google Scholar 

  9. Ahmed, Q. Z., & Yang, L. L. (2010). Reduced-rank adaptive multiuser detection in hybrid direct-sequence time-hopping ultrawide bandwidth systems. IEEE Transactions on Wireless Communications, 9(1), 156–167.

    Article  Google Scholar 

  10. Xu, Z., Liu, P., & Tang, J. (2005). A subspace approach to blind multiuser detection for ultra-wideband communication systems. EURASIP Journal on Applied Signal Processing, 2005(3), 413–425.

    Article  Google Scholar 

  11. Wang, F., & Xu, C. Q. (2009). Two-stage blind adaptive multiuser detection algorithm for DS-CDMA UWB in ISI channels. In Proceeding of IEEE wireless communications & signal processing (pp. 1–5), November 2009.

    Google Scholar 

  12. Zhang, D., Wang, K., & Zhang, X. (2010). Blind adaptive affine projection algorithm-based multiuser detector over a multipath fading channel. Signal Processing, 90(6), 2102–2106.

    Article  Google Scholar 

  13. Wang, X., & Poor, H. V. (1998). Blind multiuser detection: a subspace approach. IEEE Transactions on Information Theory, 44(2), 677–690.

    Article  Google Scholar 

  14. Wang, X., & Poor, H. V. (1998). Blind equalization and multiuser detection in dispersive CDMA channels. IEEE Transactions on Communications, 46(1), 91–103.

    Article  Google Scholar 

  15. Honig, M., Madhow, U., & Verdú, S. (1995). Blind adaptive multiuser detection. IEEE Transactions on Information Theory, 41(4), 944–960.

    Article  Google Scholar 

  16. Xu, Z., Liu, P., & Wang, X. (2004). Blind multiuser detection: from MOE to subspace methods. IEEE Transactions on Signal Processing, 52(2), 510–524.

    Article  Google Scholar 

  17. Wen, J. H., & Wen, C. K. (2001). Adaptive recursive algorithm for complementary subspace based blind multiuser detection. IEEE Transactions on Circuits and Systems. 2, Analog and Digital Signal Processing, 48(12), 1132–1136.

    Google Scholar 

  18. Buzzi, S., Lops, M., & Poor, H. V. (2003). Blind adaptive joint multiuser detection and equalization in dispersive differentially encoded CDMA channels. IEEE Transactions on Signal Processing, 51(7), 1880–1893.

    Article  Google Scholar 

  19. Yang, B. (1995). Projection approximation subspace tracking. IEEE Transactions on Signal Processing, 43(1), 95–107.

    Article  Google Scholar 

  20. Foerster, J., et al. (2003). Channel modeling sub-committee report final. IEEE 802.15 Working Group for Wireless Personal Area Networks (WPANs), IEEE P802.15-02/490r1-SG3a.

  21. Molisch, A. F., Foerster, J. R., & Pendergrass, M. (2003). Channel models for ultrawideband personal area networks. IEEE Personal Communications, 10(6), 14–21.

    Google Scholar 

  22. Madhow, U., & Honig, M. (1994). MMSE interference suppression for direct-sequence spread-spectrum CDMA. IEEE Transactions on Communications, 42, 3178–3188.

    Article  Google Scholar 

  23. Strobach, P. (1997). Bi-iteration SVD subspace tracking algorithms. IEEE Transactions on Signal Processing, 45(5), 1222–1240.

    Article  Google Scholar 

  24. Miao, Y., & Hua, Y. (1998). Fast subspace tracking and neural network learning by a novel information criterion. IEEE Transactions on Signal Processing, 46(7), 1967–1979.

    Article  Google Scholar 

  25. Leon-Garcia, A. (1994). Probability and random processes for electrical engineering (2nd ed.). Reading: Addison-Wesley.

    Google Scholar 

  26. Poor, H. V., & Verdu, S. (1997). Probability of error in MMSE multiuser detection. IEEE Transactions on Information Theory, 43, 868–871.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Chia-Hsin Cheng.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Cheng, CH. A subspace-based blind detector with rapid channel tracking structure for TH-UWB systems over time-varying multi-path channels. Telecommun Syst 52, 413–422 (2013). https://doi.org/10.1007/s11235-011-9446-z

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11235-011-9446-z

Keywords

Navigation