NDLI: An Intercarrier Interference Suppression Technique Using Time-Domain Windowing for OFDM Systems

Content Provider	IEEE Xplore Digital Library
Author	Chin-Liang Wang Yu-Chih Huang Po-Chung Shen
Copyright Year	2006
Description	Author affiliation: Dept. of Electr. Eng., Nat. Tsing Hua Univ., Hsinchu (Chin-Liang Wang)
Abstract	In this paper, we propose a new intercarrier interference (ICI) suppression scheme for orthogonal frequency division multiplexing (OFDM) systems. The proposed approach can be regarded as an improved version of the method using correlative coding, where the data samples of the tail subcarriers in an OFDM symbol are encoded with the data samples of the head ones in the same OFDM symbol, instead of being encoded with those of the subsequent OFDM symbol for the original approach. For low complexity, the modified correlative coding scheme is realized as a windowing function, where the parameters are optimized through theoretical analysis. A demodulation algorithm which does not need prior information of the transmit sequence is also developed. Computer simulation results show that the proposed scheme not only achieves better performance in ICI suppression, but also prevents error propagation through OFDM symbols. The penalty is only a slight increase in the computational complexity at the receiver
Starting Page	2518
Ending Page	2522
File Size	3904045
Page Count	5
File Format	PDF
ISBN	0780393910
ISSN	15502252
DOI	10.1109/VETECS.2006.1683311
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-05-07
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Interference suppression Time domain analysis OFDM Computer simulation Computer errors Transmitters Tail Demodulation Computational complexity Wireless communication orthogonal frequency division multiplexing (OFDM) correlative coding frequency offset intercarrier interference (ICI) ICI suppression
Content Type	Text
Resource Type	Article
Subject	Applied Mathematics Electrical and Electronic Engineering Computer Science Applications

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