Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/12989
Title: Iterative receiver design for MIMO-OFDM systems via Sequential Monte Carlo (SMC) techniques
Authors: BAY LAY KHIM
Keywords: Iterative receiver, MIMO-OFDM, SMC, Bayesian, Resampling, Degeneracy
Issue Date: 21-Dec-2007
Source: BAY LAY KHIM (2007-12-21). Iterative receiver design for MIMO-OFDM systems via Sequential Monte Carlo (SMC) techniques. ScholarBank@NUS Repository.
Abstract: Sequential Monte Carlo (SMC) is a way to solve online estimation problems that could involve non-linear dynamic systems and even non-linear noise. Conventionally, SMC techniques utilize resampling. However resampling is computationally intensive and causes problems such as difficulty in implementing the SMC algorithm in parallel. On the other hand, resampling is essential to counteract issues of degeneracy. The proposed algorithm attempts to skip resampling and hence avoiding the problems associated with it. Since SMC technique is used as the first stage of an iterative receiver. Periodic termination of the phase trellis is employed and the effects of degeneracy is reduced. The system is compared to a system with SMC detection and resampling. The proposed system is able to achieve similar performance with a lower complexity. The known symbols used in periodic termination can also help in pilot-symbol aided channel estimation (PACE). The system with channel estimation is also simulated.
URI: http://scholarbank.nus.edu.sg/handle/10635/12989
Appears in Collections:Master's Theses (Open)

Show full item record
Files in This Item:
File Description SizeFormatAccess SettingsVersion 
Thesis_HT050768M.pdf1.87 MBAdobe PDF

OPEN

NoneView/Download

Page view(s)

291
checked on Dec 11, 2017

Download(s)

258
checked on Dec 11, 2017

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.