Fundamentals of statistical signal processing: estimation theory
Fundamentals of statistical signal processing: estimation theory
IEEE Transactions on Signal Processing - Part I
Pilot-assisted estimation of MIMO fading channel response and achievable data rates
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
Performance analysis of space-time coding with imperfect channel estimation
IEEE Transactions on Wireless Communications
Space-time decoding with imperfect channel estimation
IEEE Transactions on Wireless Communications
Error probability of coded STBC systems in block fading environments
IEEE Transactions on Wireless Communications
Novel diversity receivers in the presence of Gaussian channel estimation errors
IEEE Transactions on Wireless Communications
Optimal Pilot Spacing and Power in Rate-Adaptive MIMO Diversity Systems with Imperfect CSI
IEEE Transactions on Wireless Communications
Space-time block codes from orthogonal designs
IEEE Transactions on Information Theory
IEEE Transactions on Information Theory
Fading channels: how perfect need "perfect side information" be?
IEEE Transactions on Information Theory
Capacity and power allocation for fading MIMO channels with channel estimation error
IEEE Transactions on Information Theory
A simple transmit diversity technique for wireless communications
IEEE Journal on Selected Areas in Communications
IEEE Journal on Selected Areas in Communications
Enhanced music+ algorithm based transceiver for multicode multicarrier CDMA
ICNVS'10 Proceedings of the 12th international conference on Networking, VLSI and signal processing
Hi-index | 0.00 |
Maximum likelihood (ML) receivers for space-time coded multiple-input multiple-output (MIMO) systems with Gaussian channel estimation errors are proposed. Two different cases are considered. In the first case, the conditional probability density function (PDF) of the channel estimate is assumed Gaussian and known. In the second case, the joint PDF of the channel estimate and the true channel gain is assumed Gaussian and known. In addition to ML signal detection for space-time coded MIMO with ML and minimum mean-squared-error channel estimation, ML signal detection without channel estimation is also studied. Two suboptimal structures are derived. The Alamouti space-time codes are used to examine the performances of the new receivers. Simulation results show that the new receivers can reduce the gap between the conventional receiver with channel estimation errors and the receiver with perfect channel knowledge at least by half in some cases.