Please use this identifier to cite or link to this item:
Full metadata record
DC FieldValueLanguage
dc.contributor.authorJing, Jiashengen_US
dc.identifier.citationJing, J. (2022). Channel estimation and IQ imbalance compensation for OFDM signal. Master's thesis, Nanyang Technological University, Singapore.
dc.description.abstractIn 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.en_US
dc.publisherNanyang Technological Universityen_US
dc.subjectEngineering::Electrical and electronic engineeringen_US
dc.titleChannel estimation and IQ imbalance compensation for OFDM signalen_US
dc.typeThesis-Master by Courseworken_US
dc.contributor.supervisorTay Wee Pengen_US
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen_US
dc.description.degreeMaster of Science (Communications Engineering)en_US
item.fulltextWith Fulltext-
Appears in Collections:EEE Theses
Files in This Item:
File Description SizeFormat 
  Restricted Access
1.58 MBAdobe PDFView/Open

Page view(s)

Updated on Jul 4, 2022


Updated on Jul 4, 2022

Google ScholarTM


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