Novel blind identification and equalization new method based on particle filter;

A blind identification method for single-inputmulti-output multi-channel systems;

A two-stage blind identification algorithm for CDMA time-varying dispersive channels;

In wireless and mobile communications, blind equalization and identification of dispersive channels is a very hot research topic recently, and it is especially a technical difficulty to identify and equalize the time-varying (TV) dispersive channels blindly.

The blind signal processing, including blind signal processing, blind source separation, blind multiuser detection and blind system identification, is the attractive research topic of signal processing and neural networks in the last decade or more.

The basic idea of blind system identification and its algorithms are discussed.

On blind channel identification and equalization based on poly_phase decomposi tion;

As the input of the model is unknown and unaccessible, a neural network based blind channel identification technique was employed to identify the model s transfer function.