Blind Signal Processing Problem In Wireless Communication System Based On PARAFAC Model

In recent years, the problem of blind signal processing is increasingly being everyone’s attention and become one of the hot issues in the field of communications and signal processing.Blind signal processing method is a way to achieve the detection and identification method of the signal in the case of the unknown channel state and system parameters.PARAFAC (PARAllel FACtor, parallel factor) technology is a trilinear decomposition methods originated in psychometrics and modern analytical chemistry field. Recently, PARAFAC technology as a new kind of blind signal processing method widely used in the field of signal processing and communications.This paper will apply the PARAFAC technology to wireless communication systems to study the problem of blind signal processing based on PARAFAC technology.This paper will apply the PARAFAC technology to third-generation mobile communications system, starting from the DS-CDMA system model, blind signal processing algorithms TALS based on PARAFAC technology is given in this paper, and put forward a new PARAFAC algorithm-DTALS, it can make blind signal processing in unknown user spreading codes, the characteristics of the multipath channel, DO A calibration information, mode characteristic of constant or statistic independent features. This paper also apply an extension of the PARAFAC model-PARALIND model to the fourth-generation mobile communications system, MIMO-OFDM system model, a blind signal processing algorithms based on PARALIND model is proposed, It can blindly process the received information for the MIMO-OFDM system in the case of unknown CSI or the multipath channel knowledge or statistical characteristics.