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Cramer-Rao bounds for SNR estimation of oversampled linearly modulated signals

Author
López, R.; Villares, J.; Riba, J.; Gappmair, W.; Mosquera, C.
Type of activity
Journal article
Journal
IEEE transactions on signal processing
Date of publication
2015-04-01
Volume
63
Number
7
First page
1675
Last page
1683
DOI
https://doi.org/10.1109/TSP.2015.2396013 Open in new window
Project funding
Communications and Signal Processing in Adverse Scenarios - 1
URL
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7018046 Open in new window
Abstract
Most signal-to-noise ratio (SNR) estimators use the receiver matched filter output sampled at the symbol rate, an approach which does not preserve all information in the analog waveform due to aliasing. Thus, it is relevant to ask whether avoiding aliasing could improve SNR estimation. To this end, we compute the corresponding data-aided (DA) and non-data-aided (NDA) Cramer-Rao bounds (CRBs). We adopt a novel dual filter framework, which is shown to be information-preserving under suitable condi...
Keywords
Adaptation, BPSK, Cramer-Rao bounds, Nonconstant modulus constellations, Oversampling, Parameter-estimation, SIMO channels, Signal to noise ratio, Systems
Group of research
SPCOM - Signal Processing and Communications Group

Participants