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Optimisation of Iterative Multi-user Receivers using Analytical Tools

dc.contributor.authorShepherd, David Peteren_US
dc.date.accessioned2010-08-19T01:22:18Zen_US
dc.date.accessioned2011-01-04T02:34:11Z
dc.date.available2010-08-19T01:22:18Zen_US
dc.date.available2011-01-04T02:34:11Z
dc.date.issued2008
dc.description.abstractThe objective of this thesis is to develop tools for the analysis and optimization of an iterative receiver. These tools can be applied to most soft-in soft-out (SISO) receiver components. For illustration purposes we consider a multi-user DS-CDMA system with forward error correction that employs iterative multi-user detection based on soft interference cancellation and single user decoding. Optimized power levels combined with adaptive scheduling allows for efficient utilization of receiver resources for heavily loaded systems.¶ Metric transfer analysis has been shown to be an accurate method of predicting the convergence behavior of iterative receivers. EXtrinsic Information (EXIT), fidelity (FT) and variance (VT) transfer analysis are well-known methods, however the relationship between the different approaches has not been explored in detail. We compare the metrics numerically and analytically and derive functions to closely approximate the relationship between them. The result allows for easy translation between EXIT, FT and VT methods. Furthermore, we extend the $J$ function, which describes mutual information as a function of variance, to fidelity and symbol error variance, the Rayleigh fading channel model and a channel estimate. ... ¶en_US
dc.identifier.otherb2370018x
dc.identifier.urihttp://hdl.handle.net/1885/49357
dc.language.isoenen_US
dc.rights.uriThe Australian National Universityen_US
dc.subjectEXIT chart, CDMA, multi-user detector, turbo codes, iterative receiveren_US
dc.titleOptimisation of Iterative Multi-user Receivers using Analytical Toolsen_US
dc.typeThesis (PhD)en_US
dcterms.valid2008en_US
local.contributor.affiliationDepartment of Information Engineering, Research School of Information Sciences and Engineeringen_US
local.contributor.affiliationThe Australian National Universityen_US
local.description.refereedyesen_US
local.identifier.doi10.25911/5d7a2d2209c1e
local.mintdoimint
local.type.degreeDoctor of Philosophy (PhD)en_US

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