An automatic harmonic selection scheme based on spectrum analyzer measurements

Discerning noise from signal is often required for a correct interpretation of a spectrum. This paper presents a method to select automatically 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. A statistical framework for the algorithm will be derived. The method will be demonstrated on simulations and measurements.