Skip to main content
Log in

A novel adaptive spectrum forming filter: Application in cognitive ultra-wideband

  • Research Papers
  • Published:
Science China Information Sciences Aims and scope Submit manuscript

Abstract

Ultra wideband impulse radio (UWB-IR) has important applications in high data rate communications, high precision positioning and penetrating target detection. Combined with cognitive radio (CR), UWB can also greatly alleviate the current spectrum scarcity. However, the existing UWB waveforms are faced with two challenges. The spectrum utilization of UWB signal is rather low, which reduces the communication reliability. Meanwhile, it appears difficult for UWB-IR to avoid spectrum collision with other incumbent services. So UWB will inevitably interfere other legal wireless systems. Motivated by these considerations, we model the UWB waveform design into an interpolation problem. Based on radial basis function neural network, a novel UWB pulse is presented in this paper. This UWB pulse is then realized though reasonable simplification on the already proposed theoretical network. The designed UWB pulses can adaptively track the external spectral environment where UWB devices work and reconfigure its emission spectrum according to the state of primer users without any modification on hardware. The frequency utilization is maximized when there is no active primary user. The adequate spectrum avoidance has also been achieved without much spectrum utilization degradation within the non-primary bands. Simulation and analysis show that our UWB-IR pulse is much superior to the other existing UWB signals in the frequency utilization, spectrum avoidance and in the transmission performance.

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. Ultra-wide bandwidth signal propagation for indoor wireless communications. In: Proceedings of the 1997 IEEE International Conference on Communications (ICC 1997), Monréal, Québec, Canada, 1997. 56–60

  2. Nag S, Barnes M A, Payment T. An ultra-wideband through-wall radar for detecting the motion of people in real time. In: Proceedings of the SPIE, Orlando, FL, USA, 2002. 48–57

  3. Zhou Z, Li B, Song Q J. Open spectrum and UWB research in China: spectrum reform and radio revolution. In: Proceeding of 2010 IEEE International Conference on Ultra-Wideband (ICUWB 2010). Nanjing, China, 2010

  4. Federal Communications Commission (FCC). Revision of part 15 of the commission’s rules regarding ultra-wide band transmission systems. First Report and Order. ET Docket 98-153, FCC 02-48, 2002

  5. Wu X R, Tian Z, Davidson T N, et al. Optimal waveform design for UWB radios. IEEE Trans Signal Process, 2006, 54: 2009–2021

    Article  Google Scholar 

  6. Parr B, Cho B, Wallace K, et al. A novel UWB pulse design algorithm. IEEE Commun Lett, 2003, 7: 219–221

    Article  Google Scholar 

  7. Zeng D S, Annamalai A Jr, Zaghloul A I. Pulse shaping filter design in UWB system. In: Proceeding of the 2003 IEEE Conference on Ultra-Wideband Systems and Technologies (ICUWB-ST 2003), Reston, Virginia, USA, 2003. 66–70

  8. Wu X L, Sha X J, Zhang N T. Pulse shaping method to compensate for antenna distortion in ultra-wiseband communications. Sci China Ser F-Inf Sci, 2007, 50: 878–888

    Article  MATH  Google Scholar 

  9. Zou W X, Nie J, Zhou Z. Optimal design for UWB Pulse (in Chinese). J Beijing Univ Posts Telecommun, 2006, 29: 65–68

    Google Scholar 

  10. Zou W X, Zhou Z. Algorithm for UWB pulse based on the frequency band and bandwidth constraint (in Chinese). J Beijing Univ Posts Telecommun, 2005, 26: 94–97

    Google Scholar 

  11. Lin Z Y, Wei P. Novel UWB communication pulse design method (in Chinese). J Commun, 2007, 27: 122–126

    Google Scholar 

  12. Wang M, Wu S J, Luo F. Optimal UWB pulse design method based on B spline (in Chinese). J Xidian Univ, 2008, 35: 8–13

    Google Scholar 

  13. Sheng H S, Orlik P, Haimovich A M, et al. On the spectral and power requirement for ultra-wideband transmission. In: Proceeding of the 2003 IEEE International Conference on Communications (ICC 2003), Anchorage, USA, 2003. 738–742

  14. Giuliano R, Mazzenga F. On the coexistence of power-controlled ultra wide-band systems with UMTS, GPS, DCS1800, and fixed wireless systems. IEEE Trans Vehic Tech, 2005, 54: 62–81

    Article  Google Scholar 

  15. Li B, Zhou Z, Zou W X, et al. Interference mitigation between ultra wideband sensor network and other legal systems. EURASIP J Wireless Commun Network, 2010, doi:10.1155/2010/290306

  16. Wylie-Green M P. Adjacent frequency coding technique for decreasing MB-OFDM ultra-wideband interference to other radio services. In: Proceeding of the 2006 IEEE Sarnoff Symposium (SARNOF 2006), Piscataway, USA, 2006. 1–4

  17. Shelby K A, Chiang J, Lansford J. Modified adjacent frequency coding for increased notch depth in MB-OFDM under DAA/spectral sculpting. In: Proceeding of the 2006 International Conference on Cognitive Radio Oriented Wireless Networks and Communications (CROWNCOM 2006), Mykonos Island, Greece, 2006. 1–5

  18. Lansford J. DAA for multi-band OFDM UWB. IEEE 802.15 WPAN Working Group, September 2005

  19. Yamaguchi H. Active interference cancellation technique for MB-OFDM cognitive radio. In: Proceeding of the 34th European Microwave Conference (EuMC 2004), Amsterdam, Netherlands, 2004. 1105–1108

  20. Ohno K, Ikegami T. Interference mitigation study for UWB radio using template waveform processing. IEEE Trans Microw Theory Tech, 2006, 54: 1782–1792

    Article  Google Scholar 

  21. Yang R M, Yu C B, Zhou Z. A novel algorithm for design adaptive DS-UWB pulse using Hermite-Gaussian orthonormal expansion. In: Proceeding of the 2006 International Conference on Wireless Communications, Networking and Mobile Computing (WiCom 2006), Wuhan, China, 2006. 1–4

  22. Yang R M, Zhou Z, Zhang L Y, et al. Detection and avoidance scheme for DS-UWB system: a step towards cognitive radio. IET Commun, 2008, 2: 1043–1050

    Article  Google Scholar 

  23. Durantini A, Giuliano R. UWB interference mitigation techniques in a cooperative scenario. In: Proceeding of the 2007 IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC 2007), Athens, Greece, 2007. 1–5

  24. Dissanayake T, Esselle K P. Prediction of the notch frequency of slot loaded printed UWB antennas. IEEE Trans Anten Propag, 2007, 55: 3320–3325

    Article  Google Scholar 

  25. Powell M J D. Radial basis function approximations to polynomials. In: Proceeding of the 1987 Numerical Analysis, Dundee UK, 1987. 223–241

  26. Hagan M T, Demuth H B, Beale M H. Neural Networks Design. Boston, MA: PWS Publishing, 1996

    Google Scholar 

  27. Haykin S. Neural Networks: A Comprehensive Foundation. 2nd ed. Upper Saddle River, HJ: Prentice-Hall Inc., 1999

    MATH  Google Scholar 

  28. Li B, Zhou Z, Zou W X. A novel spectrum adaptive DS-UWB pulse: application in cognitive radio. In: Proceeding of the 2009 IEEE 70th Vehicular Technology Conference (VTC 2009 Fall), Anchorage, Alaska, USA, 2009. 1–5

  29. Tevfik Y, Hüseyin A. A survey of spectrum sensing algorithms for cognitive radio applications. IEEE Commun Surveys Tutor, 2009, 11: 116–130

    Article  Google Scholar 

  30. Widrow B, Winter R. Neutral nets for adaptive filtering and pattern recognition. IEEE Comput Magaz, 1988, 21: 25–39

    Google Scholar 

  31. Proakis J G. Digital Communications. New York: McGraw-Hill, 2003

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Bin Li.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Li, B., Zhou, Z. & Zou, W. A novel adaptive spectrum forming filter: Application in cognitive ultra-wideband. Sci. China Inf. Sci. 53, 2584–2599 (2010). https://doi.org/10.1007/s11432-010-4106-6

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11432-010-4106-6

Keywords

Navigation