Title :
Two novel compressed-sensing algorithms for NBI detection in OFDM systems
Author :
Gomaa, Ahmad ; Islam, K. M Zahidul ; Al-Dhahir, Naofal
Author_Institution :
Dept. of Electr. Eng., Univ. of Texas at Dallas, Richardson, TX, USA
Abstract :
We propose two novel algorithms based on compressed-sensing theory to estimate and cancel narrow band interference (NBI) in orthogonal frequency division multiplexing (OFDM) systems. Simulation results demonstrate the effectiveness of our proposed algorithms in estimating the NBI frequency support and approaching the performance with no NBI.
Keywords :
OFDM modulation; interference (signal); NBI detection; OFDM systems; compressed-sensing algorithms; narrow band interference; orthogonal frequency division multiplexing; Bandwidth; DSL; Estimation theory; Frequency estimation; Interference cancellation; Narrowband; Noise measurement; OFDM; Radiofrequency interference; Wireless communication; Compressive Sensing; NBI; Narrow-band Interference mitigation; OFDM;
Conference_Titel :
Acoustics Speech and Signal Processing (ICASSP), 2010 IEEE International Conference on
Conference_Location :
Dallas, TX
Print_ISBN :
978-1-4244-4295-9
Electronic_ISBN :
1520-6149
DOI :
10.1109/ICASSP.2010.5496032
