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A Rate-Maximizing Channel-Shortening Detector with Soft Feedback Side Information

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Author

Summary, in English

In this paper, we present a novel approach for the design of rate-maximizing channel shortening detectors with soft feedback side information for frequency-selective channels. The detector is a soft-input soft-output detector and constitutes one of the components of an iterative receiver. The design optimization is performed from an information-theoretic perspective where we maximize the achievable rate during each step of the iterative process. Our proposed detector consists of a front-end filter whose coefficients are given in closed form in addition to a convex optimization procedure which provides the branch labels of the trellis and the feedback filter coefficients. The detector can be implemented as a BCJR-type algorithm operating on a trellis where the number of states is a user-defined parameter.

Publishing year

2012

Language

English

Publication/Series

2012 IEEE Global Communications Conference (GLOBECOM)

Document type

Conference paper

Publisher

IEEE - Institute of Electrical and Electronics Engineers Inc.

Topic

  • Electrical Engineering, Electronic Engineering, Information Engineering

Keywords

  • Equalization
  • Reduced-Complexity Detection
  • BCJR Algorithm
  • Information
  • Rate
  • Intersymbol Interference
  • Channel Shortening

Conference name

IEEE Global Communications Conference (GLOBECOM), 2012

Conference date

2012-12-03 - 2012-12-07

Conference place

Anaheim, CA, United States

Status

Published

ISBN/ISSN/Other

  • ISSN: 1930-529X