Please use this identifier to cite or link to this item: https://doi.org/10.1109/18.887863
Title: The kaiman filter as the optimal linear minimum mean-squared error multiuser cdma detector
Authors: Lim, T.J. 
Ma, Y. 
Keywords: Code division multiple access (cdma)
Kaiman filtering
Linear minimum mean-squared error (mmse) detection
Multiuser communications
Issue Date: 2000
Source: Lim, T.J.,Ma, Y. (2000). The kaiman filter as the optimal linear minimum mean-squared error multiuser cdma detector. IEEE Transactions on Information Theory 46 (7) : 2561-2566. ScholarBank@NUS Repository. https://doi.org/10.1109/18.887863
Abstract: In this paper, it is shown that a first-order linear state-space model applies to the asynchronous code-division multiple-access (CDMA) channel, and thus the Kaiman filter produces symbol estimates with the minimum mean-squared error (MMSE) among all linear filters, in long- or short-code systems for a given detection delay. This result may be used as a benchmark against which to compare the performance of other linear detectors in asynchronous channels. It also reveals that a time-varying recursive filter with a fixed and finite complexity implements the fixed-lag linear MMSE (LMMSE) detector, which hitherto has been assumed to require a processing window (and hence complexity) that grows with time. © 2000 IEEE.
Source Title: IEEE Transactions on Information Theory
URI: http://scholarbank.nus.edu.sg/handle/10635/112301
ISSN: 00189448
DOI: 10.1109/18.887863
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