Please use this identifier to cite or link to this item:
Title: Channel estimation and detection for multi-input multi- output (MIMO) systems
Authors: CAO THI NGA
Keywords: Channel estimation, Data detection, Multi-Input Multi-Output (MIMO) Systems, Spatially colored noise, Sphere Decoder, Decouple ML Estimation
Issue Date: 25-Jan-2007
Citation: CAO THI NGA (2007-01-25). Channel estimation and detection for multi-input multi- output (MIMO) systems. ScholarBank@NUS Repository.
Abstract: To meet the demand on very high data rates communication services, multiple transmitting and multiple receiving antennas have been proposed for modern wireless systems, where performance is limited by fading and noise. Most of the current studies on multiple-input multiple-output (MIMO) systems assume that the noise at receiving antennas are independent (white noise). In this dissertation, we focus on MIMO systems under colored noise, i.e., the noise at the receiving antennas are correlated.Channel information estimation and data detection for MIMO systems under spatially colored noise are studied. We propose an algorithm for pilot symbol assisted joint estimation of the channel coefficients and noise covariance matrix. Our proposed method is applied in quasi-static flat fading, quasi-static frequency selective fading and flat fast fading. A strategy to apply Sphere Decoder in the spatially colored noise environment is also presented. This algorithm is used in the decoding stage of our proposed systems.
Appears in Collections:Master's Theses (Open)

Show full item record
Files in This Item:
File Description SizeFormatAccess SettingsVersion 
Cao Thi Nga - ECE - Thesis.pdf509.22 kBAdobe PDF



Page view(s)

checked on Apr 20, 2019


checked on Apr 20, 2019

Google ScholarTM


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