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In this paper, we study Bayesian and hybrid Cramér-Rao bounds (BCRB and HCRB) for the code-aided (CA), the data-aided (DA), and the non-data-aided (NDA) dynamical phase estimation of QAM modulated signals. We address the bounds derivation for both the offline scenario, for which the whole observation frame is used, and the online which only takes into account the current and the previous observations...
We compute the training sequences that minimize the Cramer-Rao Bound (CRB) corresponding to the joint estimator for carrier phase, carrier frequency, and symbol timing offset. It is shown that if the symbols in a training sequence are drawn from the set of complex numbers, the resulting CRB is lower than if the symbols are drawn from a discrete set of constellation points.
This paper presents a novel NDA algorithm for phase estimation of 2CPM based on LD. Different with other phase synchronization methods, this estimation algorithm is completely independent of the demodulation, which means its accuracy is irrelevant to the performance of demodulation, and meanwhile its performance is relatively good. Besides, because only the first AMP component is explored, its complexity...
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