F Xavie Khanh - Academia.edu (original) (raw)

F Xavie Khanh

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Research paper thumbnail of INTER-CARRIER INTERFERENCE CANCELLATION FOR OFDM SYSTEMS Group: OFDM I Principal Investigators: Mihir Anandpara

Orthogonal Frequency Division Multiplexing (OFDM) is an emerging multi-carrier modulation scheme,... more Orthogonal Frequency Division Multiplexing (OFDM) is an emerging multi-carrier modulation scheme, which has been adopted for several wireless standards such as IEEE 802.11a and HiperLAN2. A well-known problem of OFDM is its sensitivity to frequency offset between the transmitted and received carrier frequencies. This frequency offset introduces inter-carrier interference (ICI) in the OFDM symbol. This project investigates three methods for combating the effects of ICI: ICI self-cancellation (SC), maximum likelihood (ML) estimation, and extended Kalman filter (EKF) method. These three methods are compared in terms of bit error rate performance, bandwidth efficiency, and computational complexity. Through simulations, it is shown that the three techniques are effective in mitigating the effects of ICI. For high values of the frequency offset and for higher order modulation schemes, the ML and EKF methods perform better than the SC method.

Research paper thumbnail of INTER-CARRIER INTERFERENCE CANCELLATION FOR OFDM SYSTEMS Group: OFDM I Principal Investigators: Mihir Anandpara

Orthogonal Frequency Division Multiplexing (OFDM) is an emerging multi-carrier modulation scheme,... more Orthogonal Frequency Division Multiplexing (OFDM) is an emerging multi-carrier modulation scheme, which has been adopted for several wireless standards such as IEEE 802.11a and HiperLAN2. A well-known problem of OFDM is its sensitivity to frequency offset between the transmitted and received carrier frequencies. This frequency offset introduces inter-carrier interference (ICI) in the OFDM symbol. This project investigates three methods for combating the effects of ICI: ICI self-cancellation (SC), maximum likelihood (ML) estimation, and extended Kalman filter (EKF) method. These three methods are compared in terms of bit error rate performance, bandwidth efficiency, and computational complexity. Through simulations, it is shown that the three techniques are effective in mitigating the effects of ICI. For high values of the frequency offset and for higher order modulation schemes, the ML and EKF methods perform better than the SC method.

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