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

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4 Author(s)
Tongtong Li ; Dept. of Electr. & Comput. Eng., Michigan State Univ., East Lansing, MI, USA ; Zhi Ding ; J. K. Tugnait ; Weiguo Liang

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.

Published in:

Communications, 2004 IEEE International Conference on  (Volume:4 )

Date of Conference:

20-24 June 2004