Channel estimation algorithm based on distance judgement and remainder compensation in OFDM system

Xiangjun Ma*, Lei Huang, Ye Lu, Chuanqi Li

*Corresponding author for this work

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

Abstract

Channel estimation accuracy is an important index of the communication reliability in OFDM system. This paper adopted the improved DFT estimator to get the channel frequency response (CFR) of the pilot subcarriers. After that, interpolation algorithm is needed to get the CFR of the non-pilot subcarriers. With the increase of the order of interpolation filter, however, the growth of interpolation accuracy becomes very limited. To solve this problem, the proposed algorithm improves the interpolation accuracy by using Newton interpolation method based on polynomial remainder compensation. The simulation results showed that the proposed algorithm can effectively resist the inter-symbol interference (ISI) and the inter-subcarrier interference (ICI). And the floor of bit error rate (BER) was further reduced.

Original languageEnglish
Title of host publication2016 6th International Conference on Communication and Network Security, ICCNS 2016
PublisherAssociation for Computing Machinery
Pages40-45
Number of pages6
ISBN (Electronic)9781450347839
DOIs
StatePublished - 26 Nov 2016
Externally publishedYes
Event6th International Conference on Communication and Network Security, ICCNS 2016 - Singapore, Singapore
Duration: 12 Nov 201614 Nov 2016

Publication series

NameACM International Conference Proceeding Series

Conference

Conference6th International Conference on Communication and Network Security, ICCNS 2016
Country/TerritorySingapore
CitySingapore
Period12/11/1614/11/16

Bibliographical note

Publisher Copyright:
© 2016 ACM.

Keywords

  • Improved DFT estimator
  • Mahalanobis distance judgement
  • Newton interpolation polynomial
  • OFDM channel estimation
  • Remainder compensation

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

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