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Energy efficient channel estimation strategy for MIMO-OFDM system

  • Haiyang Yu
  • , Choi Jaeho*
  • *Corresponding author for this work

Research output: Contribution to journalJournal articlepeer-review

Abstract

This paper analyzes the relationship between pilot value setting and channel estimation accuracy. By specific decomposition of the process to improve the estimation accuracy of channel, it defi-nitely proposes that the channel estimation can be divided into two parts: improvement of pilot point estimation accuracy and interpolation accuracy. Then it provides corresponding methods. For the mobile time-varying channel of transmitting diversity, we propose an orthogonal and uniform distributed pilot setting strategy based on MMSE rule of channel estimation. The strategy offers quantitative analysis to the relationship between different multi-antenna pilot interpolation algorithms and estimation accuracy. On this basis, for the defects in traditional DFT channel estimation algorithms, we adopt transforming domain filtering iterations to decrease Gaussian noise and the influence on estimation of the disturbance among carriers. Then an iteration algorithm for simple and effective channel estimation is proposed. The simulations show that, the improved pilot has smaller estimated mean square error, especially in bad case of fast mobile speed. From the perspective of system implementation, our strategy can keep normal work and better system performance.

Original languageEnglish
Pages (from-to)1220-1226
Number of pages7
JournalJournal of Computational and Theoretical Nanoscience
Volume13
Issue number2
DOIs
StatePublished - 2016.02

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • Antenna
  • Channel Estimation
  • DFT
  • MIMO
  • Pilot

Quacquarelli Symonds(QS) Subject Topics

  • Materials Science
  • Mathematics
  • Engineering - Electrical & Electronic
  • Engineering - Petroleum
  • Chemistry
  • Physics & Astronomy

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