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Optimal Training Signals for MIMO OFDM Channel Estimation
 

Summary: 1
Optimal Training Signals for MIMO OFDM
Channel Estimation
Hlaing Minn, Member, IEEE and Naofal Al-Dhahir, Senior Member, IEEE
Abstract--This paper presents general classes of optimal train-
ing signals for the estimation of frequency-selective channels in
MIMO OFDM systems. Basic properties of the discrete Fourier
transform are used to derive the optimal training signals which
minimize the channel estimation mean square error. Both sin-
gle and multiple OFDM training symbols are considered. Sev-
eral optimal pilot tone allocations across the transmit antennas are
presented and classified as frequency-division multiplexing, time-
division multiplexing, code-division multiplexing in the frequency-
domain, code-division multiplexing in the time-domain, and com-
binations thereof. All existing optimal training signals in the lit-
erature are special cases of the presented optimal training signals
and our designs can be applied to pilot-only schemes as well as
pilot-data-multiplexed schemes.
Index Terms--Training signal design, Pilot tone allocation,
Channel estimation, MIMO, OFDM, DFT.

  

Source: Al-Dhahir, Naofal - Department of Electrical Engineering, University of Texas at Dallas
Minn, Hlaing - Department of Electrical Engineering, University of Texas at Dallas

 

Collections: Engineering