Improved system blind identification based on second-order cyclostationary statistics: A group delay approach

Improved system blind identification based on second-order cyclostationary statistics: A group delay approach

An improved system blind identification method based on secondorder cyclostationary statistics and the properties of group delay, has been proposed. This is achieved by applying a correction to the estimated phase (by the spectral correlation density of the system output) for the poles, in the group delay domain. The results indicate a significant improvement in system blind identification, in ...

Blind source-separation using second-order cyclostationary statistics

This paper studies the blind source separation (BSS) problem with the assumption that the source signals are cyclostationary. Identifiability and separability criteria based on second-order cyclostationary statistics (SOCS) alone are derived. The identifiability condition is used to define an appropriate contrast function. An iterative algorithm (ATH2) is derived to minimize this contrast funct...

A Second-order Statistics-based Optimization Approach for Blind Mimo System Identification

We consider the problem of identifying a Multiple-Input MultipleOutput (MIMO) finite impulse response system excited by colored inputs with known statistics. Among other applications this problem appears in the context of CDMA communications systems with spatial and temporal diversity. We propose a novel approach that optimizes a criterion involving spectra and cross-spectra of the system outpu...

A frequency domain-based approach for blind MIMO system identification using second-order cyclic statistics

This article introduces a new frequency domain approach for either MIMO system identification or source separation of convolutive mixtures of cyclostationary signals. We apply the joint diagonalization algorithm to a set of cyclic spectral density matrices of the measurements to identify the mixing system at each frequency bin up to permutation and phase ambiguity matrices. An efficient algorit...

Blind identification and equalization based on second-order statistics: a time domain approach