Constrained optimization of MIMO training sequences
EURASIP Journal on Applied Signal Processing
Optimizing training lengths and training intervals in time-varying fading channels
IEEE Transactions on Signal Processing
IEEE Transactions on Communications
Optimal training length for MIMO frequency-selective channels with time-variation
Asilomar'09 Proceedings of the 43rd Asilomar conference on Signals, systems and computers
Dynamic Resource Allocation for Scalable H.264/AVC Video Transmission over MIMO Wireless Systems
Journal of Signal Processing Systems
Multi-channel estimation in multiple antenna MB-OFDM UWB system for home entertainment network
ICCSA'06 Proceedings of the 2006 international conference on Computational Science and Its Applications - Volume Part V
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Multiple-input-multiple-output (MIMO) systems can provide high data rate wireless services in a rich scattering environment. We study one of the proposals for MIMO systems, the Bell Labs Layered Space-Time (BLAST) architecture. Channel estimation using training sequences is required for coherent detection in BLAST. We apply the maximum-likelihood channel estimator and the optimal training sequences for block flat fading channels to continuous flat fading channels and analyze the estimation error. The optimal training length and training interval that maximize the throughput for a given target bit error-rate are found by computer simulations as functions of the Doppler frequency and the number of antennas.