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2 - Common issues and signal characterization

Published online by Cambridge University Press:  04 August 2010

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Summary

Independent of the type of digital wireless communication signal which is selected for a particular application, there are many common characteristics that it will share with all other digital wireless communication signals. This chapter introduces these common characteristics and presents their basic principles.

Also included are discussions regarding performance and characterization measurements that are commonly used for digital wireless communications. These focus on characteristics that are commonly seen in DWC signal specifications. In addition, commonly used tools called Informational Diagrams are also introduced.

Power spectral density (PSD)

Often just referred to as “the spectrum” with some abuse of terminology, the power spectral density of a DWC signal is a representation of the amount of signal power present within a particular measurement bandwidth. The key here is that last phrase: in a particular measurement bandwidth. This is critical to the unambiguous use of this term.

The PSD is an individual property of each specific signal, so the actual PSD is strongly dependent on the specific modulating waveform applied. In order to have PSD measurements that are more dependent on the modulation type so they can be used to compare one type of DWC signal with another, it is necessary to add two conditions, one to the modulation and one to the measurement. These additional conditions are

  1. the modulating waveform must randomly access all possible signal states uniformly, preferably also across all possible transitions, and

  2. the measurement must take long-term averages at each frequency where the signal contains energy.

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Publisher: Cambridge University Press
Print publication year: 2010

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References

Nyquist, H., “Certain Topics in Telegraph Transmission Theory,” Proceedings of the IEEE, vol. 90, No. 2, Feb. 2002, pp. 280–305; reprinted from Transactions of the AIEE, Feb. 1928, pp. 617–644.CrossRefGoogle Scholar
Ziemer, R. E., Tranter, W. H., Principles of Communications: Systems, Modulation, and Noise, Houghton Mifflin Co., Boston, 1976, p. 422.Google Scholar
Amoroso, F., “The Bandwidth of Digital Data Signals,” IEEE Communications Magazine, November 1980, pp. 13–24.CrossRefGoogle Scholar
Sklar, B., Digital Communications: Fundamentals and Applications, 2nd ed., Prentice-Hall PTR, New Jersey, 2001.Google Scholar
Ziemer, R. E., Tranter, W. H., Principles of Communications: Systems, Modulation, and Noise, Houghton Mifflin Co., Boston, 1976.Google Scholar
Proakis, J. G., Digital Communications, 3rd ed., McGraw-Hill, New York, 1995.Google Scholar
Wozencraft, J. M., Jacobs, I. M., Principles of Communication Engineering, Waveland Press, Illinois 1990 (reissued from 1965, John Wiley & Sons, Inc.).Google Scholar
Taub, H., Schilling, D., Principles of Communication Systems, 2nd ed., McGraw-Hill, New York, 1986.Google Scholar
,Agilent Technologies, Digital Radio Theory and Measurements, Application Note 355 (Hewlett Packard), 5954–9554, April 1988.
Shannon, C. E., “A Mathematical Theory of Communication,” The Bell System Technical Journal, vol. 27, July, October 1948, pp. 379–423, 623–656.CrossRefGoogle Scholar
Soderstrand, M. A., Gao, L., McCune, E., “Maximizing Channel Capacity in FSK Modulation Systems,” Proceedings of the 1999 IEEE International Symposium on Circuits and Systems (ISCAS '99), vol. 4, pp. 552–555, July 1999.Google Scholar
Gao, L., et al., “Optimum Filtering For Maximum Channel Capacity in PSK and FSK Modulation Systems,” Journal Title, vol. 2, Aug. 1997, pp. 1386–1389.
Lam, Ping-Kuen, et. al., “Nyquist Filters In Non-ISI Transmission,” Proceedings of the 40th Midwest Symposium on Circuits and Systems (1997), vol. 1, Aug. 1997, pp. 561–564.Google Scholar

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