The Kalman filter as the optimal linear minimum mean-squared error multiuser CDMA detector

Authors:
Teng Joon Lim;Yao Ma
Affiliations:
Centre for Wireless Commun.;-
Venue:
IEEE Transactions on Information Theory
Year:
2006

Citing 0
Cited 4

Adaptive blind multiuser detection over flat fast fading channels using particle filtering

EURASIP Journal on Wireless Communications and Networking - Special issue on advanced signal processing algorithms for wireless communications
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A Kalman-filter approach to equalization of CDMA downlink channels

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A network of Kalman filters for MAI and ISI compensation in a non-Gaussian environment

EURASIP Journal on Applied Signal Processing

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Abstract

It is shown that a first-order linear state-space model applies to the asynchronous code-division multiple-access (CDMA) channel, and thus the Kalman 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