Effects of Nonuniform Input Spectra on Signal-to-Noise Ratio in Wide-Bandwidth Digital Correlation
Author(s) -
Shing Kwong Wong,
Tzihong Chiueh
Publication year - 2010
Publication title -
publications of the astronomical society of the pacific
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.294
H-Index - 172
eISSN - 1538-3873
pISSN - 0004-6280
DOI - 10.1086/651032
Subject(s) - oversampling , bandwidth (computing) , spectral density , noise power , physics , spectral line , degradation (telecommunications) , noise (video) , channel (broadcasting) , signal to noise ratio (imaging) , signal (programming language) , electronic engineering , computer science , power (physics) , acoustics , telecommunications , optics , engineering , quantum mechanics , astronomy , artificial intelligence , image (mathematics) , programming language
In a low-bit sampling digital correlator for wide-bandwidth interferometry observations, nonuniform spectra of the analog input can degrade the correlator efficiency. In this work we evaluate this issue in detail, particularly for correlators having fine spectral resolution. We find the degradation to be due to nonlinear transfer of noise among different frequency channels, thereby altering the per channel signal-to-noise ratio (S/N) in an unfavorable manner with low-power channels having worse S/N and high-power channels, better S/N. (The favorable S/N in high-power channels arise primarily from effective oversampling.) To the leading order, the favorable and unfavorable S/N at different channels can largely cancel and the S/N degradation occurs as a second-order effect. However, when the two input spectra for correlation deviate from each other, such a cancellation mechanism may be suppressed.
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