Journal
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
Volume 53, Issue 3, Pages 847-853Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TIM.2004.827091
Keywords
harmonic distortion; measurement; nonlinearities; signal detection; spectrum analyzer; statistics
Ask authors/readers for more resources
Discerning noise from signal is often required for a correct interpretation of a spectrum. This paper presents a method to automatically select the significant spectral components in spectra, measured with a spectrum analyzer. No prior knowledge about the measured signals is required, and only commercially available equipment is used. The detection algorithm is based on the relationship between the resolution bandwidth (RBW) and the noise level of the spectrum analyzer. It is divided in three steps. First, the spectrum is measured with a spectrum analyzer. Second, the same signal is measured a second time with a different RBW. Finally, from the division of both measurements, one can conclude at which frequencies a signal is present. A statistical framework for the algorithm will be derived. The method will be demonstrated on simulations and measurements.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available