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Detection of Spread-Spectrum Signals

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Principles of Spread-Spectrum Communication Systems
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Abstract

The ability to detect the presence of spread-spectrum signals is often required by cognitive radio, ultra-wideband, and military systems. This chapter presents an analysis of the detection of spread-spectrum signals when the spreading sequence or the frequency-hopping pattern is unknown and cannot be accurately estimated by the detector. Thus, the detector cannot mimic the intended receiver, and alternative procedures are required. The goal is limited in that only detection is sought, not demodulation or decoding. Nevertheless, detection theory leads to impractical devices for the detection of spread-spectrum signals. An alternative procedure is to use a radiometer or energy detector, which relies solely on energy measurements to determine the presence of unknown signals. The radiometer has applications not only as a detector of spread-spectrum signals, but also as a general sensing method in cognitive radio and ultra-wideband systems.

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References

  1. N. C. Beaulieu, W. L. Hopkins, and P. J. McLane, “Interception of Frequency-Hopped Spread-Spectrum Signals,” IEEE. J. Select. Areas Commun., vol. 8, pp. 853–870, June 1990.

    Google Scholar 

  2. F. F. Digham, M. S. Alouini, and M. K. Simon, “On the Energy Detection of Unknown Signals over Fading Channels,” IEEE Trans. Commun., vol. 55, pp. 21–24, Jan. 2007.

    Google Scholar 

  3. C. W. Helstrom, Elements of Signal Detection and Estimation, Prentice Hall, 1995.

    Google Scholar 

  4. D. A. Hill and E. B. Felstead, “Laboratory Performance of Spread Spectrum Detectors,” IEE Proc.-Commun., vol. 142, pp. 243–249, Aug. 1995.

    Google Scholar 

  5. D. Horgan and C. C. Murphy, “Fast and Accurate Approximations for the Analysis of Energy Detection in Nakagami-m Channels,” IEEE Commun. Lett., vol. 17, pp. 83–86, Jan. 2013.

    Google Scholar 

  6. D. Horgan and C. C. Murphy, “On the Convergence of the Chi Square and Noncentral Chi Square Distributions to the Normal Distribution,” IEEE Commun. Lett., vol. 17, pp. 2233–2236, Dec. 2013.

    Google Scholar 

  7. B. K. Levitt, U. Cheng, A. Polydoros, and M. K. Simon, “optimal Detection of Slow Frequency-Hopped Signals,” IEEE Trans. Commun., vol. 42, pp. 1990–2000, Feb./March/April 1994.

    Google Scholar 

  8. B. Levy, Principles of Signal Detection and Parameter Estimation, Springer, 2008.

    Google Scholar 

  9. A. Mariani, A. Giorgetti, and M. Chiani, “Effects of Noise Power Estimation on Energy Detection for Cognitive Radio Applications,” IEEE Trans. Commun., vol. 59, pp. 3410–3420, Dec. 2011.

    Google Scholar 

  10. L. E. Miller, J. S. Lee, and D. J. Torrieri, “Frequency-Hopping Signal Detection Using Partial Band Coverage,” IEEE Trans. Aerosp. Electron. Syst., vol. 29, pp. 540–553, April 1993.

    Google Scholar 

  11. A. Polydoros and C. L. Weber, “Detection Performance Considerations for Direct-Sequence and Time-Hopping LPI Waveforms,” IEEE J. Select. Areas Commun., vol. 3, pp. 727–744, Sept. 1985.

    Google Scholar 

  12. D. Torrieri, “The Radiometer and Its Practical Implementation,” IEEE Military Commun. Conf., Oct. 2010.

    Google Scholar 

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Torrieri, D. (2018). Detection of Spread-Spectrum Signals. In: Principles of Spread-Spectrum Communication Systems. Springer, Cham. https://doi.org/10.1007/978-3-319-70569-9_10

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  • DOI: https://doi.org/10.1007/978-3-319-70569-9_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-70568-2

  • Online ISBN: 978-3-319-70569-9

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