Minimum probability of error for asynchronous Gaussian multiple-access channels
IEEE Transactions on Information Theory
Adaptive filter theory (3rd ed.)
Adaptive filter theory (3rd ed.)
Multiuser Detection
Wireless Communications: Principles and Practice
Wireless Communications: Principles and Practice
Adaptive Filtering: Algorithms and Practical Implementation
Adaptive Filtering: Algorithms and Practical Implementation
Convergence analysis of chip- and fractionally spaced LMS adaptivemultiuser CDMA detectors
IEEE Transactions on Signal Processing
Performance analysis of minimum variance CDMA receivers
IEEE Transactions on Signal Processing
Probability of error in MMSE multiuser detection
IEEE Transactions on Information Theory
Blind adaptive multiuser detection
IEEE Transactions on Information Theory
| Hi-index | 0.00 |
A fast converging adaptive minimum-mean-squared-error (MMSE) multiuser detector is proposed for direct-sequence code-division multiple-access (DS-CDMA) systems with severe near-far problem where the convergence rate of adaptive MMSE detectors for distinct users can be very different. It is shown that by successively cancelling the interference signals of strong power users, the convergence rate of the proposed detectors for weak power users can be significantly increased, which helps to reduce the length of training sequence for tracking. It is also shown that the order of cancellation and several important parameters required for interference cancellation can be determined from the convergence behavior of the proposed detector. Numerical results are presented to show that the proposed detector offers improved performance in various DS-CDMA environments.