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Journal Articles IEEE Transactions on Signal Processing Year : 2009

Near Optimum Low Complexity Smoothing Loops for Dynamical Phase Estimation—Application to BPSK Modulated Signals

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Jianxiao Yang
Benoit Geller

Abstract

—This correspondence provides and analyzes a low complexity, near optimum, fixed-interval smoothing algorithm that approaches the performance of an optimal smoother for the price of two low complexity sequential estimators, i.e., two phase-locked loops (PLLs). Based on a linear approximation of the problem, a theoretical performance evaluation is given. The theoretical results are compared to some simulation results and to the Bayesian and hybrid Cramér–Rao bounds. They illustrate the good performance of the proposed smoothing PLL (S-PLL) algorithm. Index Terms—Dynamical phase estimation, phase-locked loop (PLL), smoothing algorithm.
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Dates and versions

hal-01180826 , version 1 (04-11-2015)

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Attribution - NonCommercial - ShareAlike - CC BY 4.0

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Jianxiao Yang, Benoit Geller. Near Optimum Low Complexity Smoothing Loops for Dynamical Phase Estimation—Application to BPSK Modulated Signals. IEEE Transactions on Signal Processing, 2009, pp.3704-3711. ⟨10.1109/TSP.2009.2021452⟩. ⟨hal-01180826⟩

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