Conference Proceeding

Nonlinear decision-feedback equalization for OFDM in a fast fading channel

Dept. of Electr. & Commun. Eng., Tohoku Univ., Sendai, Japan
10/2009; DOI:10.1109/PIMRC.2009.5450360 pp.2648 - 2652 In proceeding of: Personal, Indoor and Mobile Radio Communications, 2009 IEEE 20th International Symposium on
Source: IEEE Xplore

ABSTRACT Orthogonal frequency division multiplexing (OFDM) has been adopted for several wireless network standards due to its robustness against multipath fading. Main drawback of OFDM is its high peak-to-average power ratio (PAPR) that causes a signal degradation in a peak-limiting (e.g., clipping) channel leading to a higher bit error rate (BER). At the receiver, the effect of peak-limitation can be removed to some extent to improve the system performance. In this paper, a combined decision-feedback equalization with clipping noise reduction technique is presented. An iterative equalization weight that minimizes the mean square error (MSE) with respect to residual clipping noise is derived. It is shown that the bit error rate (BER) performance of OFDM with proposed technique can be significantly improved in a peak-limited and frequency-selective fading channel.

0 0
 · 
0 Bookmarks
 · 
29 Views
Data provided are for informational purposes only. Although carefully collected, accuracy cannot be guaranteed. The impact factor represents a rough estimation of the journal's impact factor and does not reflect the actual current impact factor. Publisher conditions are provided by RoMEO. Differing provisions from the publisher's actual policy or licence agreement may be applicable.

Full-text (2 Sources)

View
1 Download
Available from

Keywords

BER
 
bit error rate
 
causes
 
clipping noise reduction technique
 
frequency-selective
 
higher bit error rate
 
iterative equalization weight
 
Main drawback
 
mean square error
 
OFDM
 
Orthogonal frequency division multiplexing
 
peak-to-average power ratio
 
residual clipping noise
 
robustness
 
system performance
 
wireless network standards
 

H. Gacanin