University of Surrey

Test tubes in the lab Research in the ATI Dance Research

Soft Interference Cancellation and Channel Estimation in Uncoded Asynchronous DS-CDMA System

Xiao, P and Strom, E (2004) Soft Interference Cancellation and Channel Estimation in Uncoded Asynchronous DS-CDMA System In: IEEE VTC, 2004-05-17 - 2004-05-19.

[img]
Preview
PDF
VTC_SIC.PDF
Available under License : See the attached licence file.

Download (171kB)
[img]
Preview
PDF (licence)
SRI_deposit_agreement.pdf

Download (33kB)

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.

Item Type: Conference or Workshop Item (Conference Paper)
Divisions : Faculty of Engineering and Physical Sciences > Electronic Engineering > Centre for Communication Systems Research
Authors :
AuthorsEmailORCID
Xiao, PUNSPECIFIEDUNSPECIFIED
Strom, EUNSPECIFIEDUNSPECIFIED
Date : 17 May 2004
Identification Number : 10.1109/VETECS.2004.1390543
Contributors :
ContributionNameEmailORCID
PublisherIEEE, UNSPECIFIEDUNSPECIFIED
Additional Information : © 2004 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Depositing User : Symplectic Elements
Date Deposited : 15 Nov 2013 12:30
Last Modified : 09 Jun 2014 13:11
URI: http://epubs.surrey.ac.uk/id/eprint/798993

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year


Information about this web site

© The University of Surrey, Guildford, Surrey, GU2 7XH, United Kingdom.
+44 (0)1483 300800