Joint estimation and decoding algorithm for LDPC code in different impulsive noise channel

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper presents a joint estimation and decoding algorithm for decoding over different impulsive noise in practical use, as the state of most impulsive noise changes rapidly in the wireless networks and cause performance degradation of low-density parity-check (LDPC) code decoding. The proposed algorithm fully utilizes the posteriori probability information of the decoding algorithm to strengthen estimation instead of regarding as the probability of input as equal probability. First, we derive the simplified objective of estimation expression. Then we designed the whole process of algorithm, which combines the estimator and decoder in an iterative manner. The simulation results show that the decoding performance of the proposed decoder can reach nearly known real noise parameters decoder within 0.1dB. Comparing with previous decoders, the proposed decoder has lower bit error rate (BER).

Original languageEnglish
Title of host publication2022 IEEE Wireless Communications and Networking Conference, WCNC 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1111-1116
Number of pages6
ISBN (Electronic)9781665442664
DOIs
StatePublished - 2022
Event2022 IEEE Wireless Communications and Networking Conference, WCNC 2022 - Austin, United States
Duration: 10 Apr 202213 Apr 2022

Publication series

NameIEEE Wireless Communications and Networking Conference, WCNC
Volume2022-April
ISSN (Print)1525-3511

Conference

Conference2022 IEEE Wireless Communications and Networking Conference, WCNC 2022
Country/TerritoryUnited States
CityAustin
Period10/04/2213/04/22

Keywords

  • Impulsive noise
  • alpha-stable distribution
  • joint estimation and decoding algorithm
  • posteriori probability information

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