DocumentCode :
1155599
Title :
Synthetic instruments extract masked signal parameters
Author :
Lowdermilk, Robert W. ; Harris, Fredric J.
Volume :
8
Issue :
3
fYear :
2005
Firstpage :
40
Lastpage :
46
Abstract :
We have reviewed the signal conditioning required to obtain high-quality spectral measurements with an FFT-based spectrum analyzer. The conditioning includes data windowing and extended length. Folded windows are required at the input to the transform, and significant ensemble averaging of power spectrum and cross power spectrum at the output of the FFT is needed. We also commented on the effect of cross coupling between signal and noise terms on the variance of the spectral output terms when the signal contains both spectral lines and additive noise. Finally, we presented techniques based on cross spectra. In particular, the normalized cross spectra known as the coherence function was shown as a technique to separate spectral components traceable to the input signal from those not traceable to the input signal.
Keywords :
AWGN; fast Fourier transforms; signal processing equipment; spectral analysers; AWGN; FFT-based spectrum analyzer; additive noise; coherence function; cross coupling; data windowing; deterministic signal canceling; fast Fourier transforms; high-quality spectral measurements; masked signal parameters; normalized cross spectra; signal components; signal conditioning; signal extraction algorithms; signal processing; signal subtraction techniques; spectral analysis; spectral component separation; spectral lines; spectral output terms; synthetic instruments; Algorithm design and analysis; Bandwidth; Data mining; Discrete Fourier transforms; Instruments; Performance analysis; Signal generators; Signal processing; Signal processing algorithms; Spectral analysis;
fLanguage :
English
Journal_Title :
Instrumentation & Measurement Magazine, IEEE
Publisher :
ieee
ISSN :
1094-6969
Type :
jour
DOI :
10.1109/MIM.2005.1502447
Filename :
1502447
Link To Document :
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