Add to ORKGInternational audienceIn this paper, we are interested in blind and semi-blind identification of multiple-input multiple-output (MIMO) channel for orthogonal frequency division multiplexing (OFDM) systems. Using the sparsity property of wireless channel impulse response, we propose an iterative method which minimizes a cost function to result from the combination of blind or semi-blind criterion and the lp norm. This norm is considered as a good sparsity measure. The simulations show that the proposed method outperforms existing techniques in terms of estimation error and robustness to channel order overestimation
Abstract—A novel subspace (SS) based blind channel estima-tion method for multi-input, multi-output ...
In this paper, blind identification problem based on second-order statistics (SOS) of received signa...
Abstract-Among the various approaches recently proposed for blind estimation of wideband multiple-in...
International audienceIn this paper, we are interested in blind and semi-blind identification of mul...
International audienceIn this paper, we are interested in blind identification of single-input multi...
Abstract: In this paper, an efficient channel estimation scheme for MIMO OFDM system has been presen...
Obtaining accurate channel state estimates at reasonable training overheads remains a big challenge ...
Multiple-input multiple-output orthogonal frequency division multiplexing (MIMO-OFDM) has been consi...
Abstract — The task of channel estimation in a frequency-selective multi-input multi-output (MIMO) s...
A new second-order statistics (SOS)-based blind algorithm for MIMO channel estimation is proposed. I...
Accurate channel impulse response (CIR) is required for equalization and can help improve communicat...
A new second-order statistics (SOS) based blind algorithm for MIMO channel identification is propose...
This paper deals with joint data detection and channel estimation for frequency-selective multiple-i...
Abstract—A subspace-based blind method is proposed for esti-mating the channel responses of a multiu...
We consider blind estimation of a MIMO system with a sparse impulse response, excited with cyclostat...
Abstract—A novel subspace (SS) based blind channel estima-tion method for multi-input, multi-output ...
In this paper, blind identification problem based on second-order statistics (SOS) of received signa...
Abstract-Among the various approaches recently proposed for blind estimation of wideband multiple-in...
International audienceIn this paper, we are interested in blind and semi-blind identification of mul...
International audienceIn this paper, we are interested in blind identification of single-input multi...
Abstract: In this paper, an efficient channel estimation scheme for MIMO OFDM system has been presen...
Obtaining accurate channel state estimates at reasonable training overheads remains a big challenge ...
Multiple-input multiple-output orthogonal frequency division multiplexing (MIMO-OFDM) has been consi...
Abstract — The task of channel estimation in a frequency-selective multi-input multi-output (MIMO) s...
A new second-order statistics (SOS)-based blind algorithm for MIMO channel estimation is proposed. I...
Accurate channel impulse response (CIR) is required for equalization and can help improve communicat...
A new second-order statistics (SOS) based blind algorithm for MIMO channel identification is propose...
This paper deals with joint data detection and channel estimation for frequency-selective multiple-i...
Abstract—A subspace-based blind method is proposed for esti-mating the channel responses of a multiu...
We consider blind estimation of a MIMO system with a sparse impulse response, excited with cyclostat...
Abstract—A novel subspace (SS) based blind channel estima-tion method for multi-input, multi-output ...
In this paper, blind identification problem based on second-order statistics (SOS) of received signa...
Abstract-Among the various approaches recently proposed for blind estimation of wideband multiple-in...