Performance Analysis of OFDM Channel Estimation Under IQ Imbalance

Ngu War Hlaing, Ali Farzamnia, Frydoreen Masmin, Manas Kumar Haldar, Tohid Yousefi Rezaii

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


This study was done in attempt to investigate the effect of In-Phase-and-Quadrature Imbalance (IQI) presence in Orthogonal Frequency Division Multiplexing system (OFDM). Although OFDM system is widely used in the communication system, it is prone and sensitive to non-idealities such as IQI. This issue causes serious performance degradation in the system. Channel estimation plays an important part in an OFDM system. Thus, this study will investigate the effect of IQI in OFDM system channel estimation. There are two types of channel estimation scheme used in this paper. They are the Least Square (LS) and Linear Minimum Mean Square Error (LMMSE). The outcome for this channel estimation scheme will be compared with their theoretical values based on the channel’s Mean Square Error (MSE). To obtain the result, LS and LMMSE channel estimation was developed and simulated using MATLAB Simulink software. Then, the corresponding output was analyzed. From the analysis, the performance of these two-channel estimation schemes was affected after the addition of IQI. However, comparing both schemes, LMMSE has better performance compared to LS in terms of MSE.

Original languageEnglish
Title of host publicationProceedings of the 12th National Technical Seminar on Unmanned System Technology 2020
Subtitle of host publicationNUSYS’20
EditorsKhalid Isa, Zainah Md. Zain, Rosmiwati Mohd-Mokhtar, Maziyah Mat Noh, Zool H. Ismail, Ahmad Anas Yusof, Ahmad Faisal Mohamad Ayob, Syed Saad Azhar Ali, Herdawatie Abdul Kadir
PublisherSpringer Singapore
Number of pages18
VolumeLNEE 770
ISBN (Electronic)9789811624063
ISBN (Print)9789811624056, 9789811624087
Publication statusPublished - 25 Sep 2021
Externally publishedYes
Event12th National Technical Seminar on Unmanned System Technology - Virtual, Online
Duration: 27 Oct 202028 Oct 2020
Conference number: 12

Publication series

NameLecture Notes in Electrical Engineering
PublisherSpringer Singapore
VolumeLNEE 770
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119


Conference12th National Technical Seminar on Unmanned System Technology
Abbreviated titleNUSYS 2020
CityVirtual, Online

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