A Distributed Transmitter for the Sensor Reachback Problem Based on Radar Signals

  • Lav R. Varshney
  • Sergio D. Servetto

Abstract

We consider the problem of reachback communication in sensor networks. In this problem, a large number of sensors are deployed on a field, to measure the state of some physical process that unfolds over the field and to then cooperatively send this information back to a distant receiver for further processing. We formulate the problem as a multiple-input, single-output (MISO) system, and develop a time-division scheme based on transmission of simulated radar echoes. Information is encoded in the spatial electromagnetic reflectivity function of virtual point reflectors, and decoded with a conventional range radar receiver. Transmitter diversity and the use of pulse compression radar waveforms are exploited for both increased reliability and increased data rate. Information theoretic and simulation-based performance characterizations are also presented.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. [1]
    B. Ananthasubramaniam and U. Madhow. Virtual Radar Imaging for Sensor Networks. In Proc. Int. Wkshp. Inform. Proc. Sensor Networks (IPSN), 2004.Google Scholar
  2. [2]
    J. Barros and S. D. Servetto. On the Capacity of the Reachback Channel in Wireless Sensor Networks. In Proc. IEEE Int. Workshop Multimedia Sig. Proc., US Virgin Islands, 2002. Invited paper to the special session on Signal Processing for Wireless Networks.Google Scholar
  3. [3]
    R. E. Blahut. Principles and Practice of Information Theory. Addison-Wesley, 1987.Google Scholar
  4. [4]
    C. E. Book and M. Bernfeld. Radar Signals: An Introduction to Theory and Application. Artech House, 1993.Google Scholar
  5. [5]
    T. M. Cover, A. A. El Gamal, and M. Salehi. Multiple Access Channels with Arbitrarily Correlated Sources. IEEE Trans. Inform. Theory, IT-26(6):648–657, 1980.CrossRefGoogle Scholar
  6. [6]
    T. M. Cover and J. Thomas. Elements of Information Theory. John Wiley and Sons, Inc., 1991.Google Scholar
  7. [7]
    A. Hu and S. D. Servetto. Optimal Detection for a Distributed Transmission Array. In Proc. IEEE Int. Symp. Inform. Theory (ISIT), Yokohama, Japan, 2003.Google Scholar
  8. [8]
    A. Hu and S. D. Servetto. Algorithmic Aspects of the Time Synchronization Problem in Large-Scale Sensor Networks, 2004. ACM/Kluwer Mobile Networks and Applications. Special issue with selected papers from ACM WSNA 2003. To appear. Available from http://cn.ece.cornell.edu/.Google Scholar
  9. [9]
    A. Hu and S. D. Servetto. dFSK: Distributed Frequency Shift Keying Modulation in Dense Sensor Networks. In Proc. IEEE Int. Con. Commun. (ICC), Paris, France, 2004.Google Scholar
  10. [10]
    I. Maric and R. Yates. Efficient Multihop Broadcast for Wideband Systems. In Discrete Mathematics and Theoretical Computer Science (DI-MACS) series on Signal Processing for Wireless Transmission, Piscataway, NJ, 2002.Google Scholar
  11. [11]
    D. C. Munson, Jr., J. D. O’Brien, and W. K. Jenkins. A Tomographic Formulation of Spotlight-Mode Synthetic Aperture Radar. Proc. IEEE, 71(8):917–925, 1983.CrossRefGoogle Scholar
  12. [12]
    D. C. Munson, Jr. and R. L. Visentin. A Signal Processing View of Strip-Mapping Synthetic Aperture Radar. IEEE Trans. Acoust. Speech Signal Proc., 37(12):2131–2147, 1989.CrossRefGoogle Scholar
  13. [13]
    A. Narula, M. D. Trott, and G. W. Wornell. Performance Limits of Coded Diversity Methods for Transmitter Antenna Arrays. IEEE Trans. Inform. Theory, 45(7):2418–2433, 1999.CrossRefMathSciNetMATHGoogle Scholar
  14. [14]
    A. Scaglione and Y. W. Hong. Opportunistic Large Arrays. In IEEE Int. Symp. Adv. Wireless Comm. (ISWC02), Victoria, BC, 2002.Google Scholar
  15. [15]
    S. D. Servetto. Distributed Signal Processing Algorithms for the Sensor Broadcast Problem. In Proc. 37th Annual Con. Inform. Sciences Syst. (CISS), Baltimore, MD, 2003.Google Scholar
  16. [16]
    P. M. Woodward. Probability and Information Theory, with Applications to Radar. McGraw-Hill, 1953.Google Scholar

Copyright information

© Springer Science+Business Media, Inc. 2005

Authors and Affiliations

  • Lav R. Varshney
    • 1
  • Sergio D. Servetto
    • 1
  1. 1.School of Electrical and Computer EngineeringCornell UniversityIthaca

Personalised recommendations