September 24, 2014
Dr. Tareq Y.
Al-Naffouri, published a paper entitled “Impulse Noise Estimation and Removal
for OFDM systems” in IEEE Transactions on Communication (IEEE TCOM) in March
2014. In this paper, an efficient method is proposed to estimate and mitigate
the effect of impulsive noise, a limiting factor in the performance of digital
subscriber line (DSL) and power line communication (PLC) systems.
Specifically, modeling the impulsive
noise as a sparse signal in time domain, the proposed algorithm utilizes the
guard band null subcarriers, available in DSL and PLC systems, for estimating
the sparse impulse noise signal and cancelling its effect. Instead of using the
conventional computationally complex compressive sensing scheme based on convex
relaxation (CR), the proposed method jointly exploits the specific structure of
this problem and the available a priori information for sparse signal recovery.
The computational complexity of the proposed algorithm is very competitive with
respect to CR based schemes and other state-of-the-art methods including orthogonal
matching pursuit (OMP) and fast
Bayesian matching pursuit (FBMP).
IEEE TCOM is the top-most journal
in the area of communication. This work was done in close collaboration with
his ex-student Ahmed Abdul Quadeer, now a PhD student at Hong Kong University
of Science & Technology, and Giuseppe Caire, Professor in Electrical
Engineering department at University of Southern California. This work was one of the most downloaded TCOM
papers in April and May 2014.
T. Y. Al-Naffouri, A. A. Quadeer,
and G. Caire, "Impulse noise estimation and removal for OFDM
systems", IEEE Transactions on
Communication, vol. 62, no. 3, pp. 976-989, March 2014. Download PDF