Soft interference cancellation and channel estimation in uncoded asynchronous DS-CDMA system

Author

Xiao, Pei ; Strom, Erik G.

Author_Institution

Dept. of Signals & Syst., Chalmers Univ. of Technol., Goteborg, Sweden

Volume

3

fYear

2004

fDate

17-19 May 2004

Firstpage

1688

Abstract

The conventional interference cancellation receiver is subject to performance degradation due to incorrect decisions on interference subtracted from the received signal. This paper aims at deriving algorithms to improve the performance of interference cancellation and channel estimation in an uncoded asynchronous DS-CDMA system with orthogonal modulation. Two soft cancellation schemes, one based on the maximum a posterior (MAP), the other based on the nonlinear minimum mean square error (MMSE) criterion are presented and proved to be superior to the conventional PIC scheme with minor increase in complexity. Furthermore, the best system performance (2dB gain in a 21-user system) is observed when the derived soft information is also used for channel estimation.

Keywords

channel estimation; code division multiple access; interference suppression; least mean squares methods; maximum likelihood estimation; modulation; radio receivers; spread spectrum communication; MAP criterion; MMSE; channel estimation; maximum a posterior criterion; nonlinear minimum mean square error; orthogonal modulation; performance; receiver; soft interference cancellation; uncoded asynchronous DS-CDMA system; Channel estimation; Convolution; Convolutional codes; Error correction; Error correction codes; Interference cancellation; Mean square error methods; Multiaccess communication; Performance gain; System performance;

fLanguage

English

Publisher

ieee

Conference_Titel

Vehicular Technology Conference, 2004. VTC 2004-Spring. 2004 IEEE 59th

ISSN

1550-2252

Print_ISBN

0-7803-8255-2

Type

conf

DOI

10.1109/VETECS.2004.1390543

Filename

1390543