Channel identification and signal separation for long-code CDMA systems using multistep linear prediction method

This paper considers blind channel identification and signal separation in long-code CDMA systems. First, by modeling the received signals and MUIs as cyclostationary processes with modulation introduced cyclostationarity, long-code CDMA system is characterized using a time-invariant system model. Secondly, based on the time-invariant model, multistep linear prediction method is used to reduce the intersymbol interference introduced by multipath propagation, and channel estimation can then be performed using the non-constant modulus precoding technique and the matrix pencil approach. After channel estimation, equalization is carried out using cyclic Wiener filter. Simulation examples arc provided to illustrate the proposed approaches.