Performance analysis of the linearly constrained constant modulus algorithm-based multiuser detector
IEEE Transactions on Signal Processing
Sch. Elec., Electron./Comp. Eng., University of KwaZulu-Natal, Durban 4001, South Africa
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. © 2005 IEEE.
Adaptive algorithms; Adaptive filtering; Approximation theory; Code division multiple access; Communication channels (information theory); Computer simulation; Mathematical models; Signal interference; Signal receivers; Transmitters; Vectors; White noise; Adaptive filter; Additive white Gaussian noise; Blind adaptive multiuser detection; Constant modulus algorithm; Excess mean square error; Feedback analyis; Steady state analysis; Tracking analysis; Signal detection