Skip to main content

Advertisement

SpringerLink
Log in

Low-Complexity Cyclostationarity Feature Detection Scheme of Localized SC-FDMA Uplink System for Application to Detect and Avoid

  • Published:
Wireless Personal Communications Aims and scope Submit manuscript

Abstract

This paper proposes a low-complexity cyclostationarity feature detection scheme for detect and avoid (DAA) of Ultra-Wideband (UWB) system in order to solve the coexistence issues between UWB system and Long Term Evolution-Advanced (LTE-Advanced) system. The proposed scheme is suitable for the detection of a localized Single-carrier Frequency Division Multiple Access (SC-FDMA) signal utilized in the uplink of LTE-Advanced system. Compared with conventional cyclostationarity feature detection, the proposed scheme utilizes all possible cyclic-spectrums located in a distributed window function, which is decided by the frequency distribution of the Primary User (PU) signal. The computational complexity of the proposed scheme is low, due to only one window width instead of all occupied spectrum interval will be searched for the possible cyclic-spectrums. On the other hand, the proposed scheme can also avoid the estimation of the cyclic-spectrums when the type of PU signal is unclear or the cyclic-spectrums are hard to estimate. Simulation results indicate that the proposed scheme can make a tradeoff between detection performance and computational complexity. The low-complexity cyclostationarity feature detection also provides a substitute for the energy detection when the later approach suffers from the noise uncertainty and cannot distinguish the target signal type.

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

Similar content being viewed by others

References

  1. Shetty, S., & Aiello, R. (2006). Detect and Avoid (DAA) techniques—enabler for worldwide ultrawideband regulations, Ultra wideband systems, technologies and applications, 2006. The institution of engineering and technology seminar on 2006, pp. 21–29.

  2. ETSI Technical Specification. (2008–2011). Electromagnetic compatibility and Radio spectrum Matters (ERM);Short Range Devices (SRD); Technical characteristics of Detect-And-Avoid (DAA) mitigation techniques for SRD equipment using Ultra Wideband (UWB) technology. ETSI TS 102 754 version 1.2.1.

  3. “Final Acts WRC-07,”Geneva (November, 2007).

  4. Mishra S. M., Brodersen R. W., Brink S. T., Mahadevappa R. (2007) Detect and avoid: An ultra-wideband/WiMAX coexistence mechanism. IEEE Communications Magazine 45(6): 68–75

    Article  Google Scholar 

  5. Giuliano R., Mazzenga F. (2005) On the coexistence of power-controlled ultrawide-band systems with UMTS, GPS, DCS1800, and fixed wireless systems. IEEE Transactions on Vehicular Technology 54(1): 62–81

    Article  Google Scholar 

  6. 3GPP. 3rd Generation Partnership Project; Technical Specification Group Radio Access Network; Evolved Universal Terrestrial Radio Access (E-UTRA); Physical Channels and Modulation (Release 8). 3GPP TS 36.211 version 8.7.0 (2009–05).

  7. Tanno, M., Kishiyama, Y., Taoka, H., Miki, N., Higuchi, K., & Sawahashi, M. (2009). Layered OFDMA and its radio access techniques for LTE-Advanced, IEICE Transaction on Commununication, Vol.E92-B, no.5, pp. 1743–1750.

  8. 3GPP. 3rd Generation Partnership Project; Technical Specification Group Radio Access Network; Feasibility study for Further Advancements for E-UTRA (LTE-Advanced). 3GPP TR 36.912 version V9.2.0 (2010–03).

  9. Cabric, D., Tkachenko, A., & Brodersen, R. W. (2006). Spectrum sensing measurements of pilot, energy, and collaborative detection, Proceedings of Military and Communication Conference (MILCOM) pp. 1–7.

  10. Mishra, S. M., Ten Brink, S. & Brodersen, R. W. (2007). Detect and avoid: an ultra-wideband/WiMax coexistence mechanism, IEEE Communications Magazine, pp. 68–75.

  11. Gardner W. A. (1986) Measurement of spectral correlation. IEEE Transaction on Acoustics, Speech, and Signal Processing 34(5): 1111–1123

    Article  Google Scholar 

  12. Gardner W. A. (1988) Signal interception: A unifying theoretical framework for future detection. IEEE Transactions on Communications 36(8): 897–906

    Article  Google Scholar 

  13. Dandawaté A. V., Giannakis G. B. (1994) Statistical tests for presence of cyclostationarity. IEEE Transaction Signal Process 42(9): 2355–2369

    Article  Google Scholar 

  14. Öner M., Jondral F. (2007) An air interface identification for software radio systems. International journal of electronics and communications 61(2): 104–117

    Article  Google Scholar 

  15. Punchihewa, A., Dobre, O. A., Zhang, Q., Rajan, S., & Inkol, R. (2008). The nth-order cyclostationarity of OFDM signals in time dispersive channels, Proceedings of IEEE ASILOMAR, 2008, pp. 574–580.

  16. Wang J., Chen T., Huang B. (2006) Cyclo-period estimation for discrete-time cyclo-stationary signals. IEEE transactions on signal processing 54(1): 83–94

    Article  Google Scholar 

  17. Halford, K., & Webster, M. (2001). Multipath measurement in wireless LANs, Intersil Application Note, AN9895.1

  18. Schnell M. (1999) A promising new wideband multiple-access scheme for future mobile communications systems. European transaction on telecommunications 10(4): 417–427

    Article  Google Scholar 

  19. Myung H. G., Lim J., Goodman D. J. (2006) Single carrier FDMA for uplink wireless transmission. Vehicular Technology Magazine, IEEE 1(3): 30–38

    Article  Google Scholar 

  20. 3GPP. 3rd Generation Partnership Project; Technical Specification Group Radio Access Network; Evolved Universal Terrestrial Radio Access (E-UTRA); Physical layer procedures (Release 8). 3GPP TS 36.213 version 8.8.0 (2009–09).

Download references

Author information

Authors and Affiliations

  1. Department of Electronics and Electrical Engineering, Keio University, 3-14-1 Hiyoshi, Kohoku, Yokohama, Kanagawa, 223-8522, Japan

    Wensheng Zhang & Yukitoshi Sanada

Authors
  1. Wensheng Zhang
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Yukitoshi Sanada
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Wensheng Zhang.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Zhang, W., Sanada, Y. Low-Complexity Cyclostationarity Feature Detection Scheme of Localized SC-FDMA Uplink System for Application to Detect and Avoid. Wireless Pers Commun 66, 307–319 (2012). https://doi.org/10.1007/s11277-011-0341-4

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11277-011-0341-4

Keywords

Search

Navigation