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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 | Citation: | 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 |
Appears in Collections: | Staff Publications |
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