Narrow Band Interference Cancellation In OFDM: A Structured Maximum Likelihood Approach

by Mr. Muhammad Saqib Sohail, Electrical Engineering Department, King Fahd University of Petroleum & Minerals

 :  16 Jan 2013 (Wed)
 :  11:00 am - 12:00 noon
Venue  :  Rm 3301, 3/F (Lift 17, 18), Academic Complex, HKUST

This talk looks at a maximum likelihood (ML) approach to mitigate the effect of narrow band interference (NBI) in a zero padded orthogonal frequency division multiplexing (ZP-OFDM) system. The NBI is assumed to be time variant and asynchronous with the frequency grid of the ZP-OFDM system.  The proposed structure based technique uses the fact that the NBI signal is sparse as compared to the ZP-OFDM signal in the frequency domain. Conventional compressed sensing says that the sensing matrix should be as random as possible but many compressed sensing problems have structured matrices.  We propose that this rich structure should be taken into account. We also show how this structure can lead to a reduction in computational complexity.

Muhammad Saqib Sohail received the Bachelor’s degree in electrical engineering with honors from the University of Engineering and Technology, Lahore, Pakistan, in 2004, and the M.S. degree in electrical engineering from King Fahd University of Petroleum and Minerals (KFUPM), Dhahran, Saudi Arabia, in 2008.

He is currently a lecturer in the Electrical Engineering Department of KFUPM. Before joining KFUPM, he has worked as project engineer with NASCO (Motorola), Saudi Arabia, and as 3G radio network optimization engineer with Huawei, Saudi Arabia. His research interests include statistical signal processing with applications to wireless communications, sparse signal estimation, adaptive filtering and performance analysis of communication networks.