Experimental Investigation of Signal Sensing with Overlapped FFT Based Energy Detection | Wireless Personal Communications Skip to main content

Advertisement

Log in

Experimental Investigation of Signal Sensing with Overlapped FFT Based Energy Detection

  • Published:
Wireless Personal Communications Aims and scope Submit manuscript

Abstract

Overlapped FFT based energy detection has been proposed as a signal detection scheme in dynamic spectrum access. The overlapped FFT scheme increases the number of FFT frames to reduce the variance of squared noise and improve the detection probability. This paper evaluates the performance of the energy detection with overlapped FFT through experiments. In the experiments, different from the assumption in computer simulation of previous researches, a fixed distortion component caused by a direct current offset is observed. It is shown that the overlapped FFT scheme also works effectively under the existence of the fixed distortion. Numerical results obtained through the experiments show that the overlapped FFT scheme improves the detection probability by up to 0.15 with the noise and the fixed distortion component. The variance of the squared noise also reduces with the overlapped FFT scheme as it is expected in theoretical analysis when the fixed distortion is negligible.

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

Access this article

Subscribe and save

Springer+ Basic
¥17,985 /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 (Japan)

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13
Fig. 14
Fig. 15
Fig. 16

Similar content being viewed by others

References

  1. Mitra III, J., & Maguire, G. Q, Jr. (1999). Cognitive radio: Making software radios more personal. IEEE Personal Communications, 6, 13–18.

    Article  Google Scholar 

  2. Mitra III, J. (1999). Cognitive Radio for Flexible Mobile Multimedia Communications. In 1999 IEEE International Workshop on Mobile Multimedia Communications (pp. 3–10).

  3. Haykin, S. (2005). Cognitive radio: Brain-empowered wireless communications. IEEE Journal on Selected Areas in Communications, 23(2), 201–220.

    Article  Google Scholar 

  4. Zhao, Q., & Sadler, B. M. (2007). A survey of dynamic spectrum access. IEEE Signal Processing Magazine, 24(3), 79–89.

    Article  Google Scholar 

  5. Maranda, B. H. (1996). On the false alarm probability for an overlapped FFT processor. IEEE Transactions on Aerospace and Electronic System, 32(4), 1452–1456.

    Article  Google Scholar 

  6. Fan, H., Wang, S., Chen, F., & Zhu, Y. (2006). Frame-overlapped zoom-FFT optimization in PD radar application. In International conference on radar (pp. 1–5).

  7. Wang, S., Inkol, R., Rajan, S., & Patenaude, F. (2010). Detection of narrow-band signals through the FFT and polyphase FFT filter banks: Noncoherent versus coherent integration. IEEE Transactions on Instrumentation and Measurement, 59(5), 1424–1438.

    Article  Google Scholar 

  8. Tomioka, T., Tomizawa, T., & Kobayashi, T. (2009). High-sensitivity carrier sensing using overlapped FFT for cognitive radio transceivers. In IEEE 69th Vehicular Technology Conference (pp. 1–5).

  9. Uchida, S., Sato, A., Inamori, M., & Sanada, Y. (2012). Overlapped FFT scheme with frames of non-continuous samples. In IEEE International Conference on Communication Systems (pp. 90–94).

  10. Proakis, J. (1989). Digital communications. New York: McGraw-Hill.

    Google Scholar 

  11. Golub, G. H., & Loan, C. F. V. (1996). Matrix computations (3rd ed.). Baltimore, MD: The Johns Hopkins University Press.

    MATH  Google Scholar 

  12. Chong, J. W., Sung, Y., & Sung, D. K. (2008). Cross-layer performance analysis for CSMA/CA system: Impact of imperfect sensing. In IEEE 9th Workshop on Signal Processing Advances in Wireless Communications.

  13. Tan, K., Zhang, J., Fang, J., Liu, H., Ye, Y., Wang, S., et al. (2009). Sora: High performance software radio using general purpose multi-core processors. In 6th USENIX Symposium on Networked Systems Design and Implementation.

  14. Joint Technical Committee of Committee T1 R1P1. 4 and TIA TR46. 3. 3/TR45. 4. 4 on Wireless Access. (1994). Draft final report on RF channel characterization. Paper no. JTC(AIR)/94. 01. 17–238R4.

  15. IEEE 802.22-Part 22: Cognitive wireless RAN medium access control (MAC) and physical layer (PHY) specifications: Policies and procedures for operation in the TV bands.

Download references

Acknowledgments

This work is supported in part by the Keio Gijuku Fukuzawa Memorial Fund for the Advancement of Education and Research from Keio University in Japan.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Ryo Takai.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Takai, R., Uchida, S., Sato, A. et al. Experimental Investigation of Signal Sensing with Overlapped FFT Based Energy Detection. Wireless Pers Commun 77, 553–569 (2014). https://doi.org/10.1007/s11277-013-1522-0

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11277-013-1522-0

Keywords

Navigation