Adaptive Filters: Theory and Applications
Adaptive Filters: Theory and Applications
Space-Time Block Coding for Wireless Communications
Space-Time Block Coding for Wireless Communications
Convex Optimization
Wireless Communications & Mobile Computing
Generalized precoded block-spread CDMA
IEEE Transactions on Communications
MIMO radar waveform design via alternating projection
IEEE Transactions on Signal Processing
Linear equalizers for quasi-synchronous block spreading CDMA systems
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
A set of algorithms linking NLMS and block RLS algorithms
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
Training-based MIMO channel estimation: a study of estimator tradeoffs and optimal training signals
IEEE Transactions on Signal Processing
Training-based channel estimation for multiple-antenna broadband transmissions
IEEE Transactions on Wireless Communications
Space-time block codes from orthogonal designs
IEEE Transactions on Information Theory
Single-carrier space-time block-coded transmissions over frequency-selective fading channels
IEEE Transactions on Information Theory
Upper bounds of rates of complex orthogonal space-time block codes
IEEE Transactions on Information Theory
Frequency domain equalization for single-carrier broadband wireless systems
IEEE Communications Magazine
A simple transmit diversity technique for wireless communications
IEEE Journal on Selected Areas in Communications
Hi-index | 0.00 |
Since its recent adoption for the uplink transmissions in the next-generation cellular systems 3GPP long-term evolution (LTE) and LTE advanced, single-carrier frequency-domain equalization (SC-FDE), an effective technique to mitigate the distortion induced by long-spanning intersymbol interference has seen a surge of interest in the research community. Implementation of SC-FDE in multiple-input multiple-output (MIMO) systems usually requires, in advance, the channel information in terms of the channel frequency response (CFR). In this paper, we present a training-based CFR estimation scheme, which is hardware efficient when integrated with SC-FDE and space-time coding (STC) in MIMO systems. A thoroughmean square error (MSE) analysis of this CFR estimation scheme is provided, where we consider linear estimators based on both least squares (LS) and minimum MSE (MMSE) criteria by assuming different knowledge of the channel statistics. More specifically, for the LS-based approach, we assume no a priori knowledge of the channel statistics is given other than the noise statistics, while for the MMSE-based method, we assume both the channel covariance matrix and the noise statistics are known. Given a constraint which effectively limits the transmit power of training signals, we also investigate the optimal design of training signals under both criteria. For the special case when the number of transmit antennas is equal to 2, we further demonstrate that the CFR estimation could be implemented in an adaptive manner by means of certain block-wise recursive algorithms. Extensive simulation results are provided, which demonstrate the efficacy of this CFR estimation scheme.