Abstract

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.

Full Text

Published Version

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.