NDLI: Turbo decoding for partial response channels

Content Provider	IEEE Xplore Digital Library
Author	Souvignier, T.V. Oberg, M. Siegel, P.H. Swanson, R.E. Wolf, J.K.
Copyright Year	1972
Abstract	The partial response channel can be viewed as a rate-1 encoder in which the output alphabet differs from the input alphabet. In serially concatenated coding schemes, the partial response channel can serve as the inner encoder. Previous work on the application of turbo decoding techniques to partial response channels has focused on using a parallel concatenation of convolutional encoders as the outer code and the partial response channel as the inner code. This system requires three a posteriori probability (APP) detectors-one matched to the channel and two matched to the constituent encoders. A simplified system is presented that uses as its outer code a single convolutional code and as its inner code the partial response channel. The simplified system requires only two APP detectors, offering significant savings in complexity and computation time. This single convolutional code system is shown to perform as well as the more complicated system, offering substantial gains over uncoded systems. Simulation results for three magnetic recording channel models are presented: a partial response channel with additive white Gaussian noise, an equalized Lorentzian channel model, and a media noise model called the microtrack model. Since the use of an outer Reed-Solomon code is anticipated in an actual system, the burst-error statistics are investigated. System performance with various interleaver designs and precoders is also investigated.
Starting Page	1297
Ending Page	1308
Page Count	12
File Size	403142
File Format	PDF
ISSN	00906778
Volume Number	48
Issue Number	8
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2000-08-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Decoding Partial response channels Convolutional codes Additive white noise Concatenated codes Detectors Performance gain Computational modeling Magnetic recording Gaussian noise
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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