NDLI: Superimposed Training for Channel Shortening Equalization in OFDM

Content Provider	IEEE Xplore Digital Library
Author	Xiaoli Ma Baxley, R.J. Kleider, J. Zhou, G.T.
Copyright Year	2006
Description	Author affiliation: Sch. of Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA (Xiaoli Ma; Baxley, R.J.)
Abstract	In orthogonal frequency division multiplexing (OFDM) systems, the cyclic prefix (CP) is required to be greater than the length of the channel impulse response to avoid inter-block interference. However, a long CP decreases power and bandwidth efficiencies. Recently channel shortening equalizers (CSEs) have been introduced to enable the use of a shorter CP, but they either require perfect channel knowledge, or demand high complexity and long decoding delay when the channel is unknown. In this paper, we propose a low complexity CSE for OFDM with unknown channels by using superimposed training. Our unique design achieves bandwidth efficient channel estimation, and low complexity channel shortening equalization as well as symbol decoding. Simulation results demonstrate the effectiveness of the proposed scheme
Starting Page	1
Ending Page	7
File Size	7379503
Page Count	7
File Format	PDF
ISBN	142440617X
DOI	10.1109/MILCOM.2006.302157
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-10-23
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	OFDM Decoding Bandwidth Channel estimation Delay Interference Equalizers Collaborative work Government Degradation
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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