An improved CoSaMP sparse channel estimation algorithm in OFDM system

Hongyun Pan, Yanming Xue, Lidan Mei, Fei Gao

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

8 Citations (Scopus)

Abstract

In order to improve the accuracy and speed of channel estimation in OFDM system, an improved Compressive Sampling Matching Pursuit (CoSaMP) algorithm was proposed. The new algorithm which improves the estimation accuracy and the estimation speed, added a least square estimation process to the estimation results. Moreover it optimized the number of atoms in candidate set and the terminal conditions of iterations. Simulation results show, in OFDM system, the improved algorithm gains better MSE and BER estimation performance than CoSaMP and Orthogonal Matching Pursuit (OMP). Meanwhile, it has faster estimation speed than CoSaMP.

Original languageEnglish
Title of host publication2015 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781479989188
DOIs
Publication statusPublished - 25 Nov 2015
Event5th IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2015 - Ningbo, Zhejiang, China
Duration: 19 Sept 201522 Sept 2015

Publication series

Name2015 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2015

Conference

Conference5th IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2015
Country/TerritoryChina
CityNingbo, Zhejiang
Period19/09/1522/09/15

Keywords

  • CoSaMP
  • OFDM
  • OMP
  • sparse channel estimation

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