Polar Codes for the Deletion Channel: Weak and Strong Polarization

Ido Tal, Henry D. Pfister, Arman Fazeli, Alexander Vardy

Research output: Contribution to journalArticlepeer-review

Abstract

This paper presents the first proof of polarization for the deletion channel with a constant deletion rate and a regular hidden-Markov input distribution. A key part of this work involves representing the deletion channel using a trellis and describing the plus and minus polar-decoding operations on that trellis. In particular, the plus and minus operations can be seen as combining adjacent trellis stages to yield a new trellis with half as many stages. Using this viewpoint, we prove a weak polarization theorem for standard polar codes on the deletion channel. To achieve strong polarization, we modify this scheme by adding guard bands of repeated zeros between various parts of the codeword. This gives a scheme whose rate approaches the mutual information and whose probability of error decays exponentially in the cube-root of the block length. We conclude by showing that this scheme can achieve capacity on the deletion channel by proving that the capacity of the deletion channel can be achieved by a sequence of regular hidden-Markov input distributions.

Original languageEnglish
Pages (from-to)2239-2265
Number of pages27
JournalIEEE Transactions on Information Theory
Volume68
Issue number4
DOIs
StatePublished - 1 Apr 2022

Keywords

  • Complexity theory
  • Decoding
  • Encoding
  • Mutual information
  • Polar codes
  • Standards
  • Transforms

All Science Journal Classification (ASJC) codes

  • Information Systems
  • Computer Science Applications
  • Library and Information Sciences

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