Optimization of training sequences for spatially correlated MIMO-OFDM

The optimal training sequence for channel estimation in spatially correlated multiple-input multiple-output (MIMO) orthogonal frequency-division multiplexing (OFDM) systems has not been found for an arbitrary signal-to-noise ratio (SNR). Only one class of training sequences was proposed in the liter...

Full description

Saved in:
Bibliographic Details
Main Authors: Tuan, H.D., Luong, V.-J., Nguyen, H.H.
Format: Conference Proceeding
Language:English
Subjects:
Channel estimation
Fading
Frequency
MIMO
MIMO-OFDM
MMSE channel estimation
Random variables
Receiving antennas
Signal to noise ratio
spatially correlated fading
Sufficient conditions
Symmetric matrices
training sequence
Transmitting antennas
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:The optimal training sequence for channel estimation in spatially correlated multiple-input multiple-output (MIMO) orthogonal frequency-division multiplexing (OFDM) systems has not been found for an arbitrary signal-to-noise ratio (SNR). Only one class of training sequences was proposed in the literature in which the power allocation is given only for the extreme conditions of low and high SNR. Provided in this paper are (i) a necessary and sufficient condition for the optimal training sequence together with a convex programming to find the solution, and (ii) efficient procedures to find the optimal training sequence. Simulation results confirms the superiority of the proposed design over the existing one.
ISSN:1520-6149
2379-190X
DOI:10.1109/ICASSP.2009.4960175