Advertisement

Cyber-Physical Principles of Information Processing in Ultra-Wideband Systems

  • Sergey ChernyshevEmail author
Chapter
Part of the Studies in Systems, Decision and Control book series (SSDC, volume 260)

Abstract

Information processing in ultra-wideband systems based on the cyber-physical principles of a neuron, in a distributed structure of which impulses propagate, is considered. The processing of ultra-wideband pulses carrying information is carried out on distributed structures of irregular lines, in which the wave parameters change. Such processing can be carried out both on the “pass” and on the “reflection”, and it is possible that filters are connected in parallel, which are matched with various ultra-wideband signals.

Keywords

Ultra-wideband system Signal processing Neuron Distributed lines Filters synthesis Transient characteristic 

References

  1. 1.
    Taylor, J.D. (ed.): Introduction to Ultra-Wideband Radar Systems, 670p. CRC Press, Inc. (1995)Google Scholar
  2. 2.
    Ghavami, M., Michael, L.B., Kohno, R.: UWB signals and systems in communication engineering, 354p. Wiley Publishing, London (2006)Google Scholar
  3. 3.
    Aiello, R., Batra, A.: Ultra wideband systems. In: Newnes, 341p. Elsevier (2006)Google Scholar
  4. 4.
    Roy, S., Foerster, J.R., Somayazulu, V.S., Leeper, D.G.: Ultrawideband radio design: the promise of high-speed, short-range wireless connectivity. Proc. IEEE 92(2), 295–311 (2004)CrossRefGoogle Scholar
  5. 5.
    Robert, A. Scholtz, D.M., Pozar, Won, N.: Ultra wideband radio. EURASIP J. Appl. Sig. Process. Hindawi Publishing Corporation, 252–272 (2005)Google Scholar
  6. 6.
    Hirt, W.: Ultra-wideband radio technology: overview and future research. Comput. Commun. 26(1), 46–52 (2003)CrossRefGoogle Scholar
  7. 7.
    Mroue, A., Heddebaut, M., Elbahhar, F., Rivenq, A., Rouvaen, J.-M.: Automatic radar target recognition of objects falling on railway tracks. Meas. Sci. Technol. (2012)  https://doi.org/10.1088/0957-0233/23/2/025401
  8. 8.
    Recomendation ITU-R SM.1755-0: Characteristics of ultra-wideband technology (2006). www.itu.int
  9. 9.
    Liang, X.L.: Ultra-wideband Antenna and design. IntechOpen (2012).  https://doi.org/10.5772/47805
  10. 10.
    Isaev, V.M., Semenchuk, V.V., Meshchanov, V.P., Shikova, L.V.: UltraWuidebsnd fixed phase shifters based on coupled transmission lines with stubs. J. Commun. Technol. Electron. 60(6), 566–571 (2015)CrossRefGoogle Scholar
  11. 11.
    Meschanov, V.P., Metelnikova, I.V., Tupikin, V.D., Chumaevskaya, G.G.: A new structure of microwave Ultra-wideband differential shifter. IEEE Trans. Autom. Control MTT-42(5), 762 (1994)Google Scholar
  12. 12.
    Russian SCRF Decision № 09-05-02 dated 15 Dec 2009Google Scholar
  13. 13.
    US Federal Communications Commission (FCC) Decision № FCC 02-48 from 14 Feb 2002Google Scholar
  14. 14.
    Hubel, D.H.: Eye, brain, vision. 2nd ed., 256p. Henry Holt and Company (2012)Google Scholar
  15. 15.
    Chernyshev, S.L., Chernyshev, A.S.: Modeling of the neural network elements taking into account the properties of the neuron as a biological object. Nauka i obrazovanie, 11,  https://doi.org/10.7463/1114.0743838 (2014)
  16. 16.
    Chernyshev, S.L.: Analysis and synthesis of smooth irregular transmission lines in the time domain. In: Instrument Making, pp. 52–54. Bulletin Bauman Moscow State Technical University (1994)Google Scholar
  17. 17.
    Chernyshev, S.L.: Analysis and synthesis of UWB filters and shapers in time domain. In: 2013 IEEE International Conference on Microwave Technology & Computational Electromagnetics, Proceedings, pp. 127–130. Qingdao, China (2013)Google Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Bauman Moscow State Technical UniversityMoscowRussia

Personalised recommendations