Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/157170
Title: Channel estimation and IQ imbalance compensation for OFDM signal
Authors: Jing, Jiasheng
Keywords: Engineering::Electrical and electronic engineering
Issue Date: 2022
Publisher: Nanyang Technological University
Source: Jing, J. (2022). Channel estimation and IQ imbalance compensation for OFDM signal. Master's thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/157170
Abstract: In digital communication, a pilot is a known sequence in each signal frame. It is used for frame synchronization, as well as for channel estimation. Pilot design plays a key role in timing offset estimation and channel frequency response of the Orthogonal Frequency Division Multiplexing (OFDM) system. The designed pilot may consider the estimation of frequency selective/multipath channels, in-phase/quadrature-phase (IQ) imbalance together with other factors while providing accurate timing offset estimation/compensation and fulfilling signal. In this dissertation, an OFDM communication system model is established with noise, multipath fading and IQ imbalance to simulate the real wireless channel. I study and compare two classical channel estimation algorithms: the Least Square (LS) algorithm and the Minimum Mean Square Error (MMSE) algorithm. Then the influence of IQ imbalance on the performance of channel estimation algorithms is simulated. A special IQ imbalance estimation algorithm based on a new pilot pattern is proposed and simulated. Finally, this dissertation shows the performance of joint estimation, which proves that the proposed algorithm can effectively compensate for the non-ideality of the wireless channel and analog devices.
URI: https://hdl.handle.net/10356/157170
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Theses

Files in This Item:
File Description SizeFormat 
DISS-jjs-5.5.edited.pdf
  Restricted Access
1.58 MBAdobe PDFView/Open

Page view(s)

18
Updated on May 21, 2022

Download(s)

5
Updated on May 21, 2022

Google ScholarTM

Check

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.