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Communication system model for information rate evaluation of differential detection over time-varying channels

Communication system model for information rate evaluation of differential detection over time-varying channels

Krusevac, Z.B., Rapajic, P.B. and Kennedy, R.A. (2008) Communication system model for information rate evaluation of differential detection over time-varying channels. IET Communications, 2 (10). pp. 1301-1310. ISSN 1751-8628 (doi:10.1049/iet-com:20070610)

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Abstract

A communication system model for mutual information performance analysis of multiple-symbol differential M-phase shift keying over time-correlated, time-varying flat-fading communication channels is developed. This model is a finite-state Markov (FSM) equivalent channel representing the cascade of the differential encoder, FSM channel model and differential decoder. A state-space approach is used to model channel phase time correlations. The equivalent model falls in a class that facilitates the use of the forward backward algorithm, enabling the important information theoretic results to be evaluated. Using such a model, one is able to calculate mutual information for differential detection over time-varying fading channels with an essentially finite time set of correlations, including the Clarke fading channel. Using the equivalent channel, it is proved and corroborated by simulations that multiple-symbol differential detection preserves the channel information capacity when the observation interval approaches infinity.

Item Type: Article
Uncontrolled Keywords: communication system model, information rate evaluation, differential detection, time-varying channels, mutual information performance analysis, multiple-symbol differential M-phase shift keying, time-correlated communication channels, time-varying flat-fading
Subjects: T Technology > T Technology (General)
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Pre-2014 Departments: School of Engineering
School of Engineering > Department of Computer & Communications Engineering
Related URLs:
Last Modified: 14 Oct 2016 09:07
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
URI: http://gala.gre.ac.uk/id/eprint/2664

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