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 )Full text not available from this repository.
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.
|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
|School / Department / Research Groups:||School of Engineering
Faculty of Engineering & Science > School of Engineering
School of Engineering > Department of Computer & Communications Engineering
Faculty of Engineering & Science > School of Engineering > Department of Computer & Communications Engineering
|Last Modified:||21 Nov 2012 11:38|
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