Please use this identifier to cite or link to this item: https://doi.org/10.1109/26.911460
Title: Linear and nonlinear chip-rate minimum mean-squared-error multiuser CDMA detection
Authors: Ma, Y. 
Lim, T.J. 
Keywords: Code-division multiple access
Kalman filtering
Minimum mean-squared-error detection
Multiuser channels
Issue Date: Mar-2001
Citation: Ma, Y., Lim, T.J. (2001-03). Linear and nonlinear chip-rate minimum mean-squared-error multiuser CDMA detection. IEEE Transactions on Communications 49 (3) : 530-542. ScholarBank@NUS Repository. https://doi.org/10.1109/26.911460
Abstract: In this paper, a linear Kalman filter detector for code-division multiple access proposed earlier in the literature is extended to a structure that can handle arbitrary detection delays, through the mechanism of state augmentation. Because pre-detection RAKE combining is used in the detector, it is optimal for multipath channels, unlike the previous structure that performed post-detection combining. We also derive nonlinear Kalman detectors, which approximate the highly complex nonlinear minimum mean-squared-error detector, using the concept of "additional observations". Both linear and nonlinear detectors require processing at one or more times the chip rate, and knowledge of the spreading codes of interfering users. They have the advantage over many other multiuser detection algorithms of not requiring the spreading codes to be periodic at the symbol rate, or matrix inversion. In addition, two of the detectors are able to generate and update a posteriori probabilities of the transmitted symbols, making them interesting for iterative multiuser detection.
Source Title: IEEE Transactions on Communications
URI: http://scholarbank.nus.edu.sg/handle/10635/112260
ISSN: 00906778
DOI: 10.1109/26.911460
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