Distributive estimation of frequency selective channels for massive MIMO systems

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

4 Scopus citations

Abstract

We consider frequency selective channel estimation in the uplink of massive MIMO-OFDM systems, where our major concern is complexity. A low complexity distributed LMMSE algorithm is proposed that attains near optimal channel impulse response (CIR) estimates from noisy observations at receive antenna array. In proposed method, every antenna estimates the CIRs of its neighborhood followed by recursive sharing of estimates with immediate neighbors. At each step, every antenna calculates the weighted average of shared estimates which converges to near optimal LMMSE solution. The simulation results validate the near optimal performance of proposed algorithm in terms of mean square error (MSE).

Original languageEnglish
Title of host publication2015 23rd European Signal Processing Conference, EUSIPCO 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages889-893
Number of pages5
ISBN (Electronic)9780992862633
DOIs
StatePublished - 22 Dec 2015

Publication series

Name2015 23rd European Signal Processing Conference, EUSIPCO 2015

Bibliographical note

Publisher Copyright:
© 2015 EURASIP.

Keywords

  • Channel estimation
  • LMMSE
  • Least squares
  • distributed estimation
  • massive MIMO

ASJC Scopus subject areas

  • Media Technology
  • Computer Vision and Pattern Recognition
  • Signal Processing

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