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Subspace-based SNR estimator for OFDM system under different channel conditions

  • Wei Li
    ,
  • Yue Zhang
    ,
  • Yuan Zhang
    ,
  • Li Ke Huang
    ,
  • John Cosmas
    ,
  • Carsten Maple
  • Aeroflex
    ,
  • Brunel University London
Research Output:
Chapter in Book/Report/Conference proceeding
Conference contribution
 Peer-review

Abstract

Signal-to-noise ratio (SNR) estimation plays an important role to adaptive modulation in Evolved Multimedia Broadcast Multicast Services (eMBMS). Based on the knowledge that the received signal space consists of signal subspace and noise subspace, we propose a subspace-based SNR estimation solution to cope with the time-varying channel with frequency selective effect and different OFDM pilot structure situations in eMBMS. The simulation is carried out on both PC and Aeroflex PXI platform. Simulation results show this proposed method gives good performance with different eMBMS pilot length and time-varying channels.

Publication Information

Output type

Research Output:
Chapter in Book/Report/Conference proceeding
Conference contribution
 Peer-review

Original language

English

Publication milestones

  • Published - 07/10/2013

Publication status

Published - 07/10/2013

Publisher

Institute of Electrical and Electronics Engineers Inc., United States

ISBN (Electronic)

9781467360470

Publication IDs

  • handle.net: 10547/335951
  • Scopus: 84887832634

Host publication title

2013 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB)

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