A new algorithm of normalized LMS blind multiuser dectector based on Kalman filter

Authors:
Shao-bin Guo;Ping Huang;Shao-jing Guo
Affiliations:
Department of Automation, Harbin Engineering University, Harbin, China;Department of Automation, Harbin Engineering University, Harbin, China;Shipbuilding Engineering College, Harbin Engineering University, Harbin, China
Venue:
WiCOM'09 Proceedings of the 5th International Conference on Wireless communications, networking and mobile computing
Year:
2009

Citing 3
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Blind adaptive multiuser detection based on Kalman filtering

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Abstract

To solve the strong MAI in the stable CDMA system a new algorithm of normalized LMS blind multiuser detector based on kalman filter is proposed. The algorithm which combines the kalman filter and normalized LMS can estimates the adaptive vector to get the optimal estimation of the detection vector. Both theory analysis and experimental simulation show that the algorithm not only has fast convergence, high accuracy in tracking, excellent capability of anti-multiple access interference, but also the low computation complexity, about a quarter of the kalman filter algorithm, and has high engineering practical value.