Adaptive signal processing
Minimum probability of error for asynchronous Gaussian multiple-access channels
IEEE Transactions on Information Theory
Adaptive filter theory
Acceleration of stochastic approximation by averaging
SIAM Journal on Control and Optimization
An l2-stable feedback structure for nonlinear adaptive filtering and identification
Automatica (Journal of IFAC)
Multiuser Detection
Blind CDMA detection and equalization using linearly constrained CMA
ICASSP '00 Proceedings of the Acoustics, Speech, and Signal Processing, 2000. on IEEE International Conference - Volume 05
Adaptive Filters
A time-domain feedback analysis of filtered-error adaptive gradientalgorithms
IEEE Transactions on Signal Processing
A feedback approach to the steady-state performance of fractionallyspaced blind adaptive equalizers
IEEE Transactions on Signal Processing
Performance analysis of the linearly constrained constant modulus algorithm-based multiuser detector
IEEE Transactions on Signal Processing
A unified approach to the steady-state and tracking analyses ofadaptive filters
IEEE Transactions on Signal Processing
Adaptive power techniques for blind channel estimation in CDMA systems
IEEE Transactions on Signal Processing
Transient analysis of adaptive filters with error nonlinearities
IEEE Transactions on Signal Processing
Relationships between the constant modulus and Wiener receivers
IEEE Transactions on Information Theory
Blind adaptive multiuser detection
IEEE Transactions on Information Theory
Blind asynchronous multiuser CDMA receivers for ISI channels using code-aided CMA
IEEE Journal on Selected Areas in Communications
IEEE Journal on Selected Areas in Communications
| Hi-index | 35.68 |
The code-constrained constant modulus algorithm (CCM) implemented with a stochastic gradient (SG) technique is a very effective and efficient blind approach for interference suppression when a communication channel is frequency-selective. In nonstationary wireless environments, users frequently enter and exit the system, making it very difficult for the receiver to compute a predetermined step-size. This suggests the deployment of mechanisms to automatically adjust the step-size in order to ensure good tracking of the interference and the channel. In this paper, the performance of blind CCM adaptive receivers for direct sequence code division multiple access (DS-CDMA) systems that employ stochastic gradient (SG) algorithms with variable step-size mechanisms is investigated. We propose a novel low-complexity variable step-size mechanism for blind CCM CDMA receivers. Convergence and tracking analyses of the proposed adaptation techniques are carried out for multipath channels. Finally, numerical experiments are presented for nonstationary environments, showing that the new mechanism achieves superior performance to previously reported methods at a reduced complexity.