Cramér-Rao Bounds for SNR Estimation of Oversampled Linearly Modulated Signals

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 nondata… (More)
DOI: 10.1109/TSP.2015.2396013

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