Title :
Blind Multiuser Detection Based on Nonlinear Power Estimation
Author_Institution :
No. 50 Res. Inst., China Electron. Technol. Corp., Shanghai, China
Abstract :
A nonlinear parameter estimation algorithm is proposed to improve the blind multiuser detection based on power estimation (Kalman-P). In view of the estimation error of power of the desired user, the nonlinear mu-law compression function in communication theory is applied in our proposed algorithm. Computer simulations show that the new detection scheme has better performance in signal-to-interference ratio (SIR) than the Kalman-P.
Keywords :
multiuser detection; nonlinear estimation; parameter estimation; Kalman-P power estimation; blind multiuser detection; communication theory; computer simulations; nonlinear mu-law compression function; nonlinear parameter estimation algorithm; nonlinear power estimation; signal-to-interference ratio; AWGN; Detectors; Estimation error; Filtering algorithms; Kalman filters; Least squares approximation; Multiaccess communication; Multiuser detection; Parameter estimation; Recursive estimation; CDMA; Kalman filtering; Multiuser detection; nonlinear;
Conference_Titel :
Communications and Mobile Computing (CMC), 2010 International Conference on
Conference_Location :
Shenzhen
Print_ISBN :
978-1-4244-6327-5
Electronic_ISBN :
978-1-4244-6328-2
DOI :
10.1109/CMC.2010.209
