00000cab a22000003a 4500 UP-99796217609500221 Buklod 20231007234336.0 m |o d | ta 101008s xx d | ||r ||||| || DENGII eng Zhengyuan Xu Blind adaptive algorithms for minimum variance CDMA receivers. pp. 180-194 Constrained optimization methods have received considerable attention as a means to derive blind multiuser receivers with low complexity. The receiver's output variance is minimized subject to appropriate constraints which depend on the multipath structure of the signal of interest. When multipath is present, the constraint equations can be written in parametric form, and the constraint parameters jointly optimized with the linear receiver's parameters. We develop adaptive solutions for this joint, constrained optimization problem. Both stochastic gradient and recursive least-square-type algorithms are developed. The performance of the proposed methods is compared with other blind and trained methods and turns out to be close to the trained minimum mean-square-error receiver DS/SS signal. MSE receiver. Adaptive receivers. Adaptive solutions. Algorithm convergence. Blind adaptive algorithms. Blind multiuser receivers. Constrained optimization methods. Constraint equations. Constraint parameters. Experimental results. Global convergence. Interference cancellation. Joint constrained optimization problem. Linear receiver parameters. Low complexity receivers. Minimum variance CDMA receivers. Multipath signal structure. Output variance. Performance. Recursive least-square-type algorithm. Stochastic gradient algorithm. Trained minimum mean-square-error receiver. IEEE Transactions on communications 49, 1 (2001). FO UPD DENG-II Article