Impulse noise cancellation in OFDM: an application of compressed sensing

被引:77
作者
Caire, Giuseppe [1 ]
Al-Naffouri, Tareq Y. [2 ]
Narayanan, Arland Kumar [1 ]
机构
[1] Univ So Calif, Los Angeles, CA 90089 USA
[2] King Fahd Univ Petr & Minerals, Dhahran, Saudi Arabia
来源
2008 IEEE INTERNATIONAL SYMPOSIUM ON INFORMATION THEORY PROCEEDINGS, VOLS 1-6 | 2008年
关键词
D O I
10.1109/ISIT.2008.4595196
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
We use recently developed convex programming techniques to reconstruct arbitrary sparse signals observed through projections onto a small-dimensional space in background noise in order to estimate and remove impulsive noise in an OFDM system. We develop deterministic construction of projection matrices that provably guarantee reconstruction with high probability. Finally, we compare the achievable rate using our novel method with some simple capacity lower and upper bounds and with the recently obtained capacity of the Gaussian erasure channel. For practical impulse probability the proposed scheme appears to be competitive. This scheme may find some application in DSL and powerline communications, where transmission is typically affected by intersymbol interference, Gaussian noise and impulsive noise. (1)
引用
收藏
页码:1293 / +
页数:2
相关论文
共 19 条
[1]  
Abdelkefi F., 2005, IEEE T COMM, V53
[2]  
Abdelkefi F., 2007, IEEE T COMM, V55
[3]  
CAIRE G, COMPRESSED SES UNPUB
[4]  
CANDES E, 2008, IEEE SIG P MAG, V25
[5]  
CANDES E, DANTZING SELCT UNPUB
[6]  
CANDES EJ, HIGHLY ROBUST UNPUB
[7]   Near-optimal signal recovery from random projections: Universal encoding strategies? [J].
Candes, Emmanuel J. ;
Tao, Terence .
IEEE TRANSACTIONS ON INFORMATION THEORY, 2006, 52 (12) :5406-5425
[8]   Stable signal recovery from incomplete and inaccurate measurements [J].
Candes, Emmanuel J. ;
Romberg, Justin K. ;
Tao, Terence .
COMMUNICATIONS ON PURE AND APPLIED MATHEMATICS, 2006, 59 (08) :1207-1223
[9]  
Cover TM, 2006, Elements of Information Theory
[10]  
GOSH M, 1996, IEEE T COMM, V44