NDLI: Adaptive demodulation using rateless erasure codes

Content Provider	IEEE Xplore Digital Library
Author	Brown, J.D. Pasupathy, S. Plataniotis, K.N.
Copyright Year	1972
Abstract	We introduce a rate-adaptive system in which the receiver demodulates only those bits that have a high probability of being correct, treating nondemodulated bits as erasures. Several sets of decision regions, derived using composite hypothesis testing, are proposed for 16-QAM and 16-phase-shift keying, which allow for the simple implementation of this demodulation strategy. We demonstrate that pre-encoding the data with a Raptor code allows for simple reconstruction of the message, regardless of the erasure pattern introduced from the nondemodulated bits. We prove the optimality of the proposed decision regions in selecting the most likely subset of bits from any received symbol in moderate-to-high signal-to-noise ratios, and we analyze the performance of demodulating with these decision regions over an additive white Gaussian noise channel. Also demonstrated is the strong performance of 16-QAM for this application, compared with other power-efficient constellations and the near-optimality of using Gray mapping, even under the proposed alternate sets of decision regions
Starting Page	1574
Ending Page	1585
Page Count	12
File Size	657450
File Format	PDF
ISSN	00906778
Volume Number	54
Issue Number	9
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-09-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Demodulation Transmitters Modulation coding Quadrature amplitude modulation Automatic repeat request Adaptive systems Decoding Signal to noise ratio Phase modulation Amplitude modulation Raptor code Adaptive modulation decision regions demodulation Gray mapping hierarchical modulation phase-shift keying (PSK) constellations quadrature amplitude modulation (QAM) constellations
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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