A low-complexity blind multiuser receiver for long-code CDMA
EURASIP Journal on Wireless Communications and Networking - Special issue on innovative signal transmission and detection techniques for next generation cellular CDMA systems
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
Journal of VLSI Signal Processing Systems
A Kalman-filter approach to equalization of CDMA downlink channels
EURASIP Journal on Applied Signal Processing
A network of Kalman filters for MAI and ISI compensation in a non-Gaussian environment
EURASIP Journal on Applied Signal Processing
IEEE Transactions on Signal Processing
A steady state decoupled Kalman filter technique for multiuser detection
MILCOM'03 Proceedings of the 2003 IEEE conference on Military communications - Volume I
Proceedings of the 15th annual conference on Genetic and evolutionary computation
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We introduce a multiuser receiver based on the Kalman filter, which can be used for joint symbol detection and channel estimation. The proposed algorithm has the advantage of working even when the spreading codes used have a period larger than one symbol interval (“long codes”), unlike adaptive equalizer-type detectors. Simulation results which demonstrate the performance advantage of the proposed receiver over the conventional detector, the minimum mean squared error (MMSE) detector and a recursive least squares (RLS) multiuser detector are presented. A thorough comparison of the MMSE detector and the proposed detector is attempted because the Kalman filter also solves the MMSE parameter estimation problem, and it is concluded that, because the state space model assumed by the Kalman filter fits the code division multiple access (CDMA) system exactly, a multiuser detector based on the Kalman filter must necessarily perform better than a nonrecursive, finite-length MMSE detector. The computational complexity of the detector and its use in channel estimation are also studied