A Higher Order Statistics based Multiuser Detection and its Performance Analysis

Author

Zheng, Lin ; Qiu, Hongbing ; Zheng, Guangyong ; Ouyang, Shan

Author_Institution

Sch. of Telecommun. Eng., Xidian Univ., Xi´´an

fYear

2006

fDate

27-30 Nov. 2006

Firstpage

1

Lastpage

5

Abstract

The conventional higher order statistics based multiuser detections suffer the local minima in cost function. A blind adaptive algorithm using least mean fourth (LMF) criterion is introduced here. The criterion is proved to be globally convergent, and the weights of the stable extremum satisfy the requirement of multi-access interference decorrelation, i.e. zero-forcing solution. Closed-form expression for the steady-state excess mean-square-error (EMSE) and signal-to-interference- plus-noise ratio (SINR) are derived, and verified by simulations in AWGN channel.

Keywords

AWGN channels; blind source separation; decorrelation; higher order statistics; interference (signal); least mean squares methods; multi-access systems; multiuser detection; AWGN channel; blind adaptive algorithm; higher order statistics; least mean fourth criterion; multiaccess interference decorrelation; multiuser detection; performance analysis; signal-to-interference-plus-noise ratio; steady-state excess mean-square-error; zero-forcing solution; Adaptive algorithm; Closed-form solution; Cost function; Decorrelation; Higher order statistics; Interference; Multiuser detection; Performance analysis; Signal to noise ratio; Steady-state;

fLanguage

English

Publisher

ieee

Conference_Titel

Communication Technology, 2006. ICCT '06. International Conference on

Conference_Location

Guilin

Print_ISBN

1-4244-0800-8

Electronic_ISBN

1-4244-0801-6

Type

conf

DOI

10.1109/ICCT.2006.341927

Filename

4146528