Add to ORKGThis paper studies blind equalization problem in which the multi-input multi-output (MIMO) communication channels are to be equalized without any a priori knowledge. We modified a recently proposed sequential MIMO deconvolution algorithm and proposed a new reinitialization method for successive channel equalization. In the new approach, subsequently equalized channels will not suffer from degradation caused by errors in previous equalization Simulation results confirmed the efficacy of the proposed method and all the channels are equalized with high quality
[[abstract]]This paper proposes a novel noise-insensitive approach to blind channel estimation using...
In this thesis the concept of Blind Channel Equalization has been examined and algorithms suitable t...
A new algorithm is presented for the blind equalization of complex signals. This algorithm can be co...
This paper investigates adaptive blind equalization for multiple- input and multiple-output (MIMO) c...
Abstract: In the single-user scenario of data communications, the identification and equalization of...
Blind techniques are born in the eighties, when first adaptive equalizers have been designed for dig...
In bandwidth-efficient digital transmission, the training of a receiver requires a start-up procedur...
An equalizer is an adaptive filter that compensates for the non-ideal characteristics of a communica...
At a communications receiver the observed signal is a corrupted version of the transmitted signal. T...
International audienceIn this paper, we propose a new iterative algorithm to solve the blind deconvo...
This paper presents a novel approach to blind equalization (deconvolution), which is based on direct...
We present a novel precoding or modulation scheme (matrix modulation) that allows parallel transmiss...
International audienceThis article concerns the problem of blind equalization. In practical situatio...
This paper addresses the issue of blind multiple-input multiple-output (MIMO) demodulation of commun...
Abstract — The multichannel blind deconvolution of finite-impulse response (FIR) or infinite-impulse...
[[abstract]]This paper proposes a novel noise-insensitive approach to blind channel estimation using...
In this thesis the concept of Blind Channel Equalization has been examined and algorithms suitable t...
A new algorithm is presented for the blind equalization of complex signals. This algorithm can be co...
This paper investigates adaptive blind equalization for multiple- input and multiple-output (MIMO) c...
Abstract: In the single-user scenario of data communications, the identification and equalization of...
Blind techniques are born in the eighties, when first adaptive equalizers have been designed for dig...
In bandwidth-efficient digital transmission, the training of a receiver requires a start-up procedur...
An equalizer is an adaptive filter that compensates for the non-ideal characteristics of a communica...
At a communications receiver the observed signal is a corrupted version of the transmitted signal. T...
International audienceIn this paper, we propose a new iterative algorithm to solve the blind deconvo...
This paper presents a novel approach to blind equalization (deconvolution), which is based on direct...
We present a novel precoding or modulation scheme (matrix modulation) that allows parallel transmiss...
International audienceThis article concerns the problem of blind equalization. In practical situatio...
This paper addresses the issue of blind multiple-input multiple-output (MIMO) demodulation of commun...
Abstract — The multichannel blind deconvolution of finite-impulse response (FIR) or infinite-impulse...
[[abstract]]This paper proposes a novel noise-insensitive approach to blind channel estimation using...
In this thesis the concept of Blind Channel Equalization has been examined and algorithms suitable t...
A new algorithm is presented for the blind equalization of complex signals. This algorithm can be co...