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Performance analysis of the linearly constrained constant modulus algorithm-based multiuser detector

This paper quantifies the adaptive performance of a blind adaptive multiuser detector (MUD) based on the linearly constrained constant modulus algorithm (LCCMA) in both a stationary and nonstationary channel. A framework is developed to apply the feedback analysis method to analyzing adaptive MUD sc...

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Bibliographic Details
Published in:IEEE transactions on signal processing 2005-02, Vol.53 (2), p.643-653
Main Authors: Whitehead, J.B., Takawira, F.
Format: Article
Language:English
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Summary:This paper quantifies the adaptive performance of a blind adaptive multiuser detector (MUD) based on the linearly constrained constant modulus algorithm (LCCMA) in both a stationary and nonstationary channel. A framework is developed to apply the feedback analysis method to analyzing adaptive MUD schemes. A closed-form expression for the excess mean square error (EMSE) of LCCMA blind adaptive MUD in a CDMA communications system is derived for both of the steady-state and tracking cases. The effects of additive noise and multiple access interference are considered. A transient analysis is performed that predicts the learning curve of the adaptive filter. Computer simulation is used to verify the accuracy of the analysis.
ISSN:1053-587X
1941-0476
DOI:10.1109/TSP.2004.840781