Title :
A state-space approach to robust multiuser detection
Author :
El-Keyi, Amr ; Kirubarajan, Thia ; Gershman, Alex B.
Author_Institution :
Dept. of ECE, McMaster Univ., Hamilton, Ont.
Abstract :
In this paper, we develop a state-space approach to the blind multiuser detection problem with robustness against arbitrary mismatches in the desired user signature. A state-space approach to the decision directed detection problem and an algorithm for switching between the two detection techniques are also presented. The proposed switching algorithm can achieve an output signal-to-interference-plus-noise ratio (SINR) comparable to that of the minimum mean square error (MMSE) detector without any training even in the presence of desired user signature mismatches
Keywords :
Kalman filters; least mean squares methods; multiuser detection; nonlinear filters; state-space methods; MMSE; blind multiuser detection; decision directed detection problem; minimum mean square error; robust multiuser detection; second-order extended Kalman filter; signal-to-interference-plus-noise ratio; state-space approach; switching algorithm; Communication switching; Covariance matrix; Detectors; Distributed decision making; Mean square error methods; Multiuser detection; Robustness; Signal to noise ratio; Telecommunication switching; Wireless communication;
Conference_Titel :
Computational Advances in Multi-Sensor Adaptive Processing, 2005 1st IEEE International Workshop on
Conference_Location :
Puerto Vallarta
Print_ISBN :
0-7803-9322-8
DOI :
10.1109/CAMAP.2005.1574205
