Many known second-order statistics (SOS)-based blind algorithms for MIMO channel estimation, including the subspace (SS) and linear prediction (LP) method, are sensitive to channel-order overestimations. To overcome this problem, an algorithm is proposed in [IEEE Trans. Signal processing 50(6) (2002) 1449-1458] for the SIMO system only, and then its simple generalization to the MIMO system is presented in [Signal Processing 84(2) (2004) 435-439]. In this paper, improvements and refinements on the algorithm in [Signal Processing 84(2) (2004) 435-439] are given, which makes the method robust to noise and round-off error. The method can give estimations of all channel impulse responses subject to a matrix ambiguity when only an upper bound for...
Abstract—A novel subspace (SS) based blind channel estima-tion method for multi-input, multi-output ...
Semi-blind channel estimation and equalisation algorithms for asynchronous multiple input multiple o...
For multiuser systems, several direct blind identification algorithms require that the linear multip...
A new second-order statistics (SOS)-based blind algorithm for MIMO channel estimation is proposed. I...
A new second-order statistics (SOS) based blind algorithm for MIMO channel identification is propose...
In this paper, a novel algorithm based on subspace projections is developed for blindly estimating t...
This paper presents a new statistical approach to the blind estimation of linear multiple-input mul...
Channel order estimation is an important problem in many fields including signal processing, communi...
The least-squares and the subspace methods are well known approaches for blind channel identificatio...
In this paper, a novel blind channel estimation algorithm for a multiple input multiple output (MIMO...
n this paper, we consider three blind channel estimation methods. Cross-relation (CR), subspace (SS)...
Channel estimation method is a key issue in MIMO system. In recent years, a lot of papers on subspac...
To separate and recover multiple signals in data communications, antenna arrays and acoustic sensor ...
In this paper, blind identification problem based on second-order statistics (SOS) of received signa...
In this paper, blind identification problem based on second-order statistics (SOS) of received signa...
Abstract—A novel subspace (SS) based blind channel estima-tion method for multi-input, multi-output ...
Semi-blind channel estimation and equalisation algorithms for asynchronous multiple input multiple o...
For multiuser systems, several direct blind identification algorithms require that the linear multip...
A new second-order statistics (SOS)-based blind algorithm for MIMO channel estimation is proposed. I...
A new second-order statistics (SOS) based blind algorithm for MIMO channel identification is propose...
In this paper, a novel algorithm based on subspace projections is developed for blindly estimating t...
This paper presents a new statistical approach to the blind estimation of linear multiple-input mul...
Channel order estimation is an important problem in many fields including signal processing, communi...
The least-squares and the subspace methods are well known approaches for blind channel identificatio...
In this paper, a novel blind channel estimation algorithm for a multiple input multiple output (MIMO...
n this paper, we consider three blind channel estimation methods. Cross-relation (CR), subspace (SS)...
Channel estimation method is a key issue in MIMO system. In recent years, a lot of papers on subspac...
To separate and recover multiple signals in data communications, antenna arrays and acoustic sensor ...
In this paper, blind identification problem based on second-order statistics (SOS) of received signa...
In this paper, blind identification problem based on second-order statistics (SOS) of received signa...
Abstract—A novel subspace (SS) based blind channel estima-tion method for multi-input, multi-output ...
Semi-blind channel estimation and equalisation algorithms for asynchronous multiple input multiple o...
For multiuser systems, several direct blind identification algorithms require that the linear multip...