NDLI: Maximum likelihood detection of nonlinearly distorted multicarrier symbols by iterative decoding

Content Provider	IEEE Xplore Digital Library
Author	Tellado, J. Hoo, L.M.C. Cioffi, J.M.
Copyright Year	1999
Description	Author affiliation: Gigabit Wireless, CA, USA (Tellado, J.)
Abstract	This paper proposes a new method for decoding multicarrier symbols with severe nonlinear distortion. The first part evaluates mutual information expressions for practical nonlinear models and shows the performance bounds for commonly used receiver structures. Then, we derive the optimal maximum likelihood (ML) receiver, which unfortunately has an exponential complexity due to the nonlinear distortion. This extremely large complexity can be reduced with a simple algorithm that iteratively estimates the nonlinear distortion, thereby reducing the exponential-ML to the standard ML without nonlinear distortion. The proposed method can be used to reduce the peak to average power ratio (PAR) of multicarrier signals by clipping the transmit sequence. It can also be used to correct any nonlinear distortion present in transmitter/receiver amplifiers that are operating close to saturation.
Starting Page	2493
Ending Page	2498
File Size	651938
Page Count	6
File Format	PDF
ISBN	0780357965
DOI	10.1109/GLOCOM.1999.831750
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1999-12-05
Publisher Place	Brazil
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Maximum likelihood detection Iterative decoding Nonlinear distortion Peak to average power ratio OFDM modulation Transmitters Degradation Mutual information Maximum likelihood estimation Baseband
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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