Method Scrutinizes Behavior Of WCDMA Signals With A Spectrum Analyzer

Nov. 16, 2006
FREQUENCY-SELECTIVE MEASUREMENTS using a spectrum analyzer are one of the proven techniques for measuring the power of a communications signal, even for complex waveforms such as used in wideband code-division-multiple-access (WCDMA) systems. ...

FREQUENCY-SELECTIVE MEASUREMENTS using a spectrum analyzer are one of the proven techniques for measuring the power of a communications signal, even for complex waveforms such as used in wideband code-division-multiple-access (WCDMA) systems. Researchers Christof Olivier and Luc Martens from Ghent University (Ghent, Belgium) uses analytical expressions for analyzing the statistical nature (such as the power spectral density) of these complex signals in order to both understand the signals as well as the nature of the spectrum-analyzers used to measure these signals .That is, the spectrum analyzer was as much a part of their modeling exercise as was the WCDMA signal, allowing them to optimize the performance of the different types of detectors (peak, RMS) used with the spectrum analyzer. See "Theoretical Derivation of the Stochasic Behavior of a WCDMA Signal Measured With a Spectrum Analyzer," IEEE Transactions on Instrumentation and Measurement, April 2006, Vol. 55, No. 2, p. 603.

About the Author

Jack Browne | Technical Contributor

Jack Browne, Technical Contributor, has worked in technical publishing for over 30 years. He managed the content and production of three technical journals while at the American Institute of Physics, including Medical Physics and the Journal of Vacuum Science & Technology. He has been a Publisher and Editor for Penton Media, started the firm’s Wireless Symposium & Exhibition trade show in 1993, and currently serves as Technical Contributor for that company's Microwaves & RF magazine. Browne, who holds a BS in Mathematics from City College of New York and BA degrees in English and Philosophy from Fordham University, is a member of the IEEE.

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