Lower bound based on Kalman carrier recovery below the information rate of Wiener phase noise channel

Author

Barletta, Luca ; Magarini, Maurizio ; Spalvieri, Arnaldo

Author_Institution

Dipt. di Elettron. e Inf., Politec. di Milano, Milan, Italy

fYear

2012

fDate

30-31 Oct. 2012

Firstpage

28

Lastpage

31

Abstract

A new lower bound below the information rate transferred through the Additive White Gaussian Noise (AWGN) channel affected by discrete-time multiplicative Wiener´s phase noise is proposed in the paper. The proposed lower bound is based on the Kalman approach to data-aided carrier phase recovery, and is less computationally demanding than known methods based on phase quantization and trellis representation of phase memory. Simulation results show that the lower bound is close to the actual channel capacity, especially at low-to-intermediate signal-to-noise ratio.

Keywords

AWGN channels; Kalman filters; Wiener filters; channel capacity; discrete time filters; phase noise; quantisation (signal); signal representation; AWGN channel; Kalman filter carrier recovery; additive white gaussian noise channel; channel capacity; data-aided carrier phase recovery; discrete-time multiplicative Wiener phase noise channel; information rate; low-to-intermediate signal-to-noise ratio; lower bound; phase memory; phase quantization; trellis representation; AWGN; Channel capacity; Equations; Information rates; Kalman filters; Mathematical model; Phase noise; Channel capacity; Coherent communication; Information rate; Kalman carrier phase recovery; Kalman filtering; Phase noise; Wiener phase noise;

fLanguage

English

Publisher

ieee

Conference_Titel

Telecommunication Systems, Services, and Applications (TSSA), 2012 7th International Conference on

Conference_Location

Bali

Print_ISBN

978-1-4673-4549-1

Type

conf

DOI

10.1109/TSSA.2012.6366015

Filename

6366015