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Implementation of a Cross-Spectrum FFT Analyzer for a Phase-Noise Test System in a Low-Cost FPGA
Author(s) -
Patrick Fleischmann,
H Mathis,
Jakub Kucera,
Stefan Dahinden
Publication year - 2015
Publication title -
international journal of microwave science and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.125
H-Index - 11
eISSN - 1687-5834
pISSN - 1687-5826
DOI - 10.1155/2015/757591
Subject(s) - spectrum analyzer , noise (video) , phase noise , fast fourier transform , noise floor , noise spectral density , cross correlation , noise measurement , signal analyzer , electronic engineering , computer science , noise figure , acoustics , dynamic range , noise reduction , engineering , physics , telecommunications , mathematics , algorithm , artificial intelligence , amplifier , mathematical analysis , image (mathematics) , cmos
The cross-correlation method allows phase-noise measurements of high-quality devices with very low noise levels, using reference sources with higher noise levels than the device under test. To implement this method, a phase-noise analyzer needs to compute the cross-spectral density, that is, the Fourier transform of the cross-correlation, of two time series over a wide frequency range, from fractions of Hz to tens of MHz. Furthermore, the analyzer requires a high dynamic range to accommodate the phase noise of high-quality oscillators that may fall off by more than 100 dB from close-in noise to the noise floor at large frequency offsets. This paper describes the efficient implementation of a cross-spectrum analyzer in a low-cost FPGA, as part of a modern phase-noise analyzer with very fast measurement time

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