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Paper Detail

Paper:	SPCOM-P5.6
Session:	Synchronization
Time:	Wednesday, May 17, 10:00 - 12:00
Presentation:	Poster
Topic:	Signal Processing for Communication: Channel modeling and estimation, training schemes
Title:	Calculating the performance of a soft-information-based best linear unbiased estimator of amplitude and carrier phase offset
Authors:	Valéry Ramon, Cédric Herzet, Xavier Wautelet, Luc Vandendorpe, Université Catholique de Louvain, Belgium
Abstract:	This paper analytically calculates the expectation and the variance of a soft-information-based best linear unbiased estimator of amplitude and carrier phase offset. Long data frames are considered. The calculation includes the impact on the performance of the presence of training symbols as well as non-gaussianity of the Log-Likelihood Ratios (LLRs) fed to the estimator input. It is also analyzed how the properties of the estimator are affected when the ratio between the mean and variance of the LLRs is not equal to 1/2.