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The authors study the problem of estimating the Signal-to Noise Ratio (SNR) in linearly modulated systems. It is assumed that the frame of observations consists of several subframes, so that the symbols in different subframes are drawn from different constellations. This situation arises in practical systems, since preambles using simple constellations are inserted within data portions using more spectrally efficient, denser constellations. They consider both Data-Aided (DA) estimators and Non-Data-Aided (NDA) moment-based estimators for these systems with heterogeneous frames. As it is not immediate how to generalize existing NDA SNR estimators derived for homogeneous frames to these settings, they propose several possible extensions in order to improve estimation performance.
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