A least squares component normalization approach to blind channel identification

A least-squares approach to blind channel identification

Adaptive Algorithms Versus Higher Order Cumulants for Identification and Equalization of MC-CDMA

In this paper, a comparative study between a blind algorithm, based on higher order cumulants, and adaptive algorithms, i.e. Recursive Least Squares (RLS) and Least Mean Squares (LMS) for MultiCarrier Code Division Multiple Access (MC-CDMA) systems equalization is presented. Two practical frequency-selective fading channels, called Broadband Radio Access Network (BRAN A, BRAN B) normalized for ...

Robustness of least-squares and subspace methods for blind channel identification/equalization with respect to effective channel undermodeling/overmodeling

The least-squares and the subspace methods are two well-known approaches for blind channel identification/ equalization. When the order of the channel is known, the algorithms are able to identify the channel, under the so-called length and zero conditions. Furthermore, in the noiseless case, the channel can be perfectly equalized. Less is known about the performance of these algorithms in the ...

Blind GSM Channel Estimation Based on Higher Order Statistics

The performance of many comm. systems could be improved if the transmission channel was estimated blindly, i.e. without training sequences. As an example, we investigate in this paper whether, on GSM conditions, the blind channel estimation method EVI (EIGENVECTOR APPROACH TO BLIND IDENTIFICATION) can compete with the non-blind least squares scheme based on the cross-correlation. For Gaussian s...

Semi-blind Space-time Estimation of Co-channel Signals Using Least Squares Projections

We propose a new method, Joint Space-Time DWILSF (Decoupled Weighted Iterative Least Squares with Subspace Fitting) Algorithm that maps array output signals to a known finite alphabet (FA) symbol constellation without preceding subspace estimation. We evaluate the performance of our approach by simulating space division multiple access (SDMA) and spatial filtering for interference reduction (SF...