Blind Identification and Equalization Based on Second-Order Statistics: A Time Domain Approach

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

An Approach to Blind Deconvolution Based on Second-order “soft” Statistics

In this paper we present a new blind equalizer that achieves identification of a channel by exploiting only second-order statistics of the observations. The novelty of the proposed approach is that the receiver accomplishes channel identification by using soft-statistics; roughly speaking, it consists of an Abend-Fritchman type [11] Maximum A Posteriori (MAP) equalizer that feeds a nonlinear Ka...

A Gradient Type Algorithm forBlind System Identification and Equalizer Based on Second Order Statistics

In this paper, we propose a new structure of blind equalizer and its cost function. The proposed cost function is a quadratic form and has the unique solution. In addition, the proposed scheme can employ iterative algorithms which achieve less computational complexity and can be easily realized in real time processing. In order to verify the effectiveness of the proposed schemes, several comput...

Blind equalization of multiuser CDMA channels: a frequency-domain approach

The blind estimation of mixing channels resulting from frequency selective fading and multipath in a multiuser CDMA system is an important problem in wireless communications. We present a novel frequency-domain approach using second order spectral statistics for recovering the unknown channels. Unlike other methods which are based on time-domain analysis we make no particular assumption about t...

Blind Equalization of Multiuser Cdma Chaxnels: a Frequency-domain Approach

The blind estimation of mixing channels resulting from frequency selective fading and multipath in a multi-user CDMA system is an important problem in wireless communications. We present a novel frequency-domain approach using second order spectral statistics for recovering the unknown channels. Unlike other methods which are based on timedomain analysis we make no particular assumption about t...