Please use this identifier to cite or link to this item:
|Title:||The kaiman filter as the optimal linear minimum mean-squared error multiuser cdma detector||Authors:||Lim, T.J.
|Keywords:||Code division multiple access (cdma)
Linear minimum mean-squared error (mmse) detection
|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|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Nov 24, 2020
checked on Nov 21, 2020
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.