Blind multiuser identification and detection in CDMA systems
- 1 January 1995
- proceedings article
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- Vol. 3, 1876-1879
- https://doi.org/10.1109/icassp.1995.480577
Abstract
Multiuser detection in code division multiple access systems usually requires either knowledge of the transmitted signature sequences and channel state information or use of a known training sequence for adaptation. We develop a scheme that can be employed for the joint adaptive blind multiuser identification and detection in asynchronous CDMA systems. This scheme relies on a multiuser Viterbi algorithm that incorporates an adaptive estimation of the overall channel impulse responses, given by the convolution of the signature sequences of the users and corresponding physical channels impulse responses. Once the overall channel responses are estimated, the blind multiuser detection algorithm performs like the maximum-likelihood sequence estimator. Results are provided to illustrate the convergence of the blind multiuser approach, near-far resistance and sensitivity to the algorithm initialization.Peer ReviewedPostprint (published versionKeywords
This publication has 7 references indexed in Scilit:
- Application of hidden Markov models to blind channel characterization and data detectionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Adaptive multiuser detectionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- An adaptive linear multiuser receiver for deep water acoustic local area networksPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Suboptimal multiuser detector for frequency-selective Rayleigh fading synchronous CDMA channelsIEEE Transactions on Communications, 1995
- Joint data and channel estimation using blind trellis search techniquesIEEE Transactions on Communications, 1994
- Near-far resistance of multiuser detectors in asynchronous channelsIEEE Transactions on Communications, 1990
- Minimum probability of error for asynchronous Gaussian multiple-access channelsIEEE Transactions on Information Theory, 1986