A new training symbol structure to enhance the performance of channel estimation for MIMO-OFDM systems

Myeongcheol Shin, Hakju Lee, Chungyong Lee, Dae Hee Youn

Research output: Contribution to journalConference article

5 Citations (Scopus)

Abstract

In MIMO-OFDM system, a conventional channel estimation technique using comb type training symbol structure has high mean squared error(MSE) at edge subcarriers. To reduce the MSB at those subcarriers, we propose the cyclic comb type training structure and the weighted-averaging method. In the proposed technique, all kinds of comb type training symbols are transmitted cyclically at each transmitter. At the receiver, channel frequency responses estimated using each training symbol are averaged with weight which is obtained from the corresponding MSE. By computer simulations, we have shown that the proposed cyclic comb type training symbols gives higher SNR gain than the conventional training structure.

Original languageEnglish
Pages (from-to)397-400
Number of pages4
JournalICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume4
Publication statusPublished - 2003
Event2003 IEEE International Conference on Accoustics, Speech, and Signal Processing - Hong Kong, Hong Kong
Duration: 2003 Apr 62003 Apr 10

All Science Journal Classification (ASJC) codes

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

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