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Spread Spectrum for Wireless Communications

  • R. M. Buehrer
  • B. D. Woerner
Chapter
Part of the The Springer International Series in Engineering and Computer Science book series (SECS, volume 309)

Abstract

Though originally developed as a military technology, spread-spectrum communications has achieved widespread commercial acceptance in the last several years. The increased interest in spread spectrum for wireless communications can be attributed to the high spectral effiiciency of Code Division Multiple Access techniques, and to the natural resistance of spread spectrum signals to the effects of multipath propagation. This paper introduces the basic concepts of spread spectrum communication, discusses current analytic models for spread spectrum systems and discusses important current applications of spread spectrum technology to wireless systems. The paper also highlights current research issues in spread spectrum communications, providing both a tutorial introduction to the subject and a survey of current work.

Keywords

Power Control Spread Spectrum Convolutional Code Channel Impulse Response CDMA System 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. [1]
    R.A. Schultz, “The Origins of Spread Spectrum Communications,” IEEE Transactions on Communications, Vol. COM-30, NO. 5, May 1982.Google Scholar
  2. [2]
    Committee on Digital CDMA Cellular, IS-95 Wideband Spread Digital Cellular System Dual Mode Mobile Station-Base Station Compatibility Standard, Technical Report, EIA?TIA, TR45.5, April 1992.Google Scholar
  3. [3]
    K.S. Gilhousen, I.M Jacobs, A.J. Viterbi, et al, “On the Capacity of a Cellular CDMA System,” IEEE Transactiopns on Vehicular Technology, Vol. 40, No. 2, May 1991.Google Scholar
  4. [4]
    G. L. Turin, “Introduction to Spread-Spectrum Antimultipath Techniques and Their Application To Urban Digital Radio,” Proceedings of the IEEE, Vol. 68, No. 3, March 1980.Google Scholar
  5. [5]
    M.B. Pursley, “Performance Analysis for Phase-Coded Spread-Spectrum Multiple-Access Communication-Part I: System Analysis,” IEEE Transactions on Communications, Vol. COM-25, No. 8, August 1977.Google Scholar
  6. [6]
    G.R. Cooper, R.W. Nettleton, and D.P. Grybos, “Cellular Land-Mobile Radio: Why Spread Spectrum?,” IEEE Communiations Magazine, March 1979.Google Scholar
  7. [7]
    R.C. Dixon, Spread Spectrum Systems, John Wiley & Sons, 1984.Google Scholar
  8. [8]
    R.E. Ziemer and R.L. Peterson, Digital Communication and Spread Spectrum Systems. Macmillan, 1985.Google Scholar
  9. [9]
    R.L. Pickholtz, L.B. Milstein and D.L. Schilling, “Spread Spectrum for Mobile Communications,” IEEE Transactions on Vehicular Technology, Vol. 40, No. 2, May 1991.Google Scholar
  10. [10]
    The AARL Spread Spectrum Sourcebook. Edited by A. Kestleloot and C.L. Hutchinson, The American Radio Relay League.Google Scholar
  11. [11]
    D.V. Sarwate and MB. Pursley, “Crosscorrelation Properties of psuedorandom and related sequences,” Proceedings of the IEEE, Vol. 68, No. 5, May 1980.Google Scholar
  12. [12]
    MB. Pursley and E. Geraniotis, “Error Probabilities for Direct Sequence Spread Spectrum Multiple Access Communications — Part II: Approximations,” IEEE Transactions on Communications, May 1982.Google Scholar
  13. [13]
    J.S. Lehnert, “An Efficient Technique for Evaluating Direct-Sequence Spread-Spectrum Communications,” IEEE Transactions on Communications, Vol. 37, No. 8, August 1989.Google Scholar
  14. [14]
    R.K. Morrow and J.S. Lehnert, “Bit-to-Bit Error Dependence in Slotted DS/SSMA Packet Systems with Random Signal Sequences,” IEEE Trans, on Comm, vol. COM-37, pp. 1052–1061, Oct. 1989.CrossRefGoogle Scholar
  15. [15]
    J. M. Holtzman, “A Simple Accurate Method to Calculate Spread-Spectrum Multiple Access Error Probabilities,” IEEE Trans, on Comm., vol COM-40, pp.461–464, March 1992.CrossRefGoogle Scholar
  16. [16]
    B.D. Woerner and R. Cameron, “An Analysis of CDMA with Imperfect Power Control,” IEEE Vehicular Technology Conference, May 1992.Google Scholar
  17. [17]
    F. Simpson and J. Holtzman, “CDMA Power Control, Interleaving and Coding,” IEEE Veh. Tech. Conf. (St Louis, MO), pp. 362–367, May 1991.Google Scholar
  18. [18]
    G. Turin, “A Statistical Model of Urban Multipath Propagation”, IEEE Trans, on Veh. Technology, vol. VT-21, no. 1, pp. 1–11, Feb. 1972.CrossRefGoogle Scholar
  19. [19]
    H. Hashemi, “Impulse Response Modeling of Indoor Radio Propagation Channels,” IEEE Journal on Selected Areas in Communications, Vol. 11, No. 7, Sept. 1993Google Scholar
  20. [20]
    D.L. Schilling, R.L. Pickholtz, and L.B. Milstein, “Spread Spectrum Goes Commercial,” IEEE Spectrum, August 1989.Google Scholar
  21. [21]
    Y.L. Li, B.D. Woerner, W. Tanis II, and M. Hughes, “Simulation of CDMA Using Measured Channle Impulse Response Data,” IEEE Veh. Tech. Conf. (Secaucus, NJ), May 1993.Google Scholar
  22. [22]
    M. Jeruchim, P. Balaban, and K.S. Shannmugan, Simulation of Communication Systems, Plenum Press, New York, 1992.CrossRefGoogle Scholar
  23. [23]
    W.A. AI-Qaq, M. Devetsikiotis and J.K. Townsend, “Importance Sampling Methodologies for Simulation of Wireless Communication Links,” Third Annual Virginia Tech Symposium on Wireless Personal Communications, June 1993.Google Scholar
  24. [24]
    S. Nagpal, “Application of Importance Sampling Simulation to CDMA Systems,” M.S. Thesis, Virginia Polytechnic Institute and State University, Blacksburg, VA, 1984.Google Scholar
  25. [25]
    G.R. Lomp, D.L. Schilling, and L.B. Milstein, “An Overview of Broadband CDMA,” Virginia Tech’s Fourth Symposium on Wireless Personal Communications, June 1–3, 1994.Google Scholar
  26. [26]
    I.A. Getting, “The Global Positioning System,” IFFE Spectrum, Vol. 30, No. 12, December 1993.Google Scholar
  27. [27]
    R. L. Pickholtz, “Engineering Analysis of Cochannel Pulse-Rangin LMS Systems,” Appendix to Comments of North American Teletrac and Location Technologies, Inc., PR Docket No. 93–61 RM-8013, June 28, 1993.Google Scholar
  28. [28]
    D. J. Torrieri, “Statistical Theory of Passive Location Systems,” IEEE Trans. on Aerospace and Electronic Systems, Vol. AES-12, No. 2, March 1984.Google Scholar
  29. [29]
    S. C. Swales, et. al., “The Performance Enhancement of Multibeam Adaptive Base-Station Antennas for Cellular Land Mobile Radio Systems,” IEEE Trans. Veh. Tech., vol. VT-39, no. 1, pp. 56–67, Feb. 1990.CrossRefGoogle Scholar
  30. [30]
    B. G. Agee, K. Cohen, J. H. Reed, T. C. Hsia, “Simulation Performance of A Blind Adaptive Array For a Realistic Mobile Channel”, 43rd IFF.e. Vehicular Technology Conference, Meadowlands, NJ, May, 1993, pp. 97–100.Google Scholar
  31. [31]
    J. C. Liberti and T.S. Rappaport, “Reverse Channel Performance Improvement in CDMA Cellular Communication Systems Employing Adaptive Antennas,” Proceedings IEEE Globecom ′93, Houston, pp.42–47, Dec. 1993.Google Scholar
  32. [32]
    S. Verdu, “Minimum Probability of Error for Asynchronous Gaussian MultipleAccess Channel,” IEEE Transactions on Information Theory, Vol. IT-32, No. 5, Sept. 1986.Google Scholar
  33. [33]
    M.K. Varanasi and B. Aazhang, “Multisatge Detection in Asynchronous Code Division Multiple Access Communications,” IEEE Transactions on Communications, Vol. COM-38, No. 4, April 1990.Google Scholar
  34. [34]
    S. Striglis, A. IKaul, N. Yang, and B. Woerner, “A Multistage RAKE Receiver for Improved CDMA Performance,” lt:te. Vehicular Technology Conference, May 1994.Google Scholar
  35. [35]
    S. S. H. Wijayasuriya, J. P. McGeehan and GHL Norton, “RAKE Decorrelation as an Alternative to Rapid Power Control in DS-CDMA Mobile Radio,” IFE.E. Vehicular Technology Conference (VTC), Piscataway, NJ, May 1993.Google Scholar
  36. [36]
    P. Patel and J.M. Holtzman, “Analysis fo DS/CDMA Successive Interference Cancellation Scheme Using Correlation,” Globecom ′93, December 1993.Google Scholar
  37. [37]
    RD. Holley and J. HH. Reed, “Time dependent adaptive filters for interference cancelation in CDMA systems,” unpublished master’s thesis, Mobile and Portable Radio Research Group (MPRG-TR-93–15A), Bradley Department of Electrical Engineering, Vrirginia Polytechnic and State University, October 1993.Google Scholar
  38. [38]
    G. Ungerboeck, “Channel coding with multilevel/phase signals,” IEEE Transactions on Information Theory, vol. IT-40, no. 1, pp. 55–67, January 1982.MathSciNetCrossRefGoogle Scholar
  39. [39]
    G. D. Boudreau, D. D. Falconer and S. A. Mahmoud, “A comparison of trellis coded versus convolutionally coded spread-spectrum multiple access systems,” IEEE Journal on Selected Areas in Communications, Vol. 8, no. 4, pp. 628–640, May 1990.CrossRefGoogle Scholar
  40. [40]
    B. D. Woerner and Wayne E. Stark, “Trellis coding for direct-sequence spread-spectrum communications,” IEE.E. Transactions on Communications, aocepted for publication.Google Scholar
  41. [41]
    A. J. Viterbi and J. K. Omura, Principles of Diaital Communication and Coding, New York: McGrawHill, 1979.Google Scholar
  42. [42]
    A. J. Viterbi, “Very low rate convolutional codes for maximum theoretical performance of spreadspectrum multiple-aœess channels,” IEEE Journal on Selected Areas in Communications, Vol. 8, no. 4, pp. 641–649, May 1990.CrossRefGoogle Scholar
  43. [43]
    Y.M. Kim and B. D. Woerner, “Comparison of Low Rate Trellis Coding versus Low Rate Convolutional Codes for CDMA Systems,” submitted to IEEE MILCOM ′94. Google Scholar

Copyright information

© Springer Science+Business Media Dordrecht 1995

Authors and Affiliations

  • R. M. Buehrer
    • 1
  • B. D. Woerner
    • 1
  1. 1.Mobile and Portable Radio Research Group, Bradley Department of Electrical EngineeringVirginia Polytechnic Institute and State UniversityBlacksburgUSA

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