Blind Multiuser Detection Based on Nonlinear Power Estimation

Author

Xu, Guanghui

Author_Institution

No. 50 Res. Inst., China Electron. Technol. Corp., Shanghai, China

Volume

3

fYear

2010

fDate

12-14 April 2010

Firstpage

17

Lastpage

20

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/CMC.2010.209

Filename

5471308