University of Surrey

Test tubes in the lab Research in the ATI Dance Research

Applications of Maximum Likelihood Algorithm in Asynchronous CDMA Systems

Xiao, P and Strom, E (2002) Applications of Maximum Likelihood Algorithm in Asynchronous CDMA Systems In: IEEE International Symposium on Spread Spectrum Techniques and Applications, 2002-09 - ?.

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

Download (153kB)
[img]
Preview
PDF (licence)
SRI_deposit_agreement.pdf

Download (33kB)

Abstract

We treat the problems of propagation delay and channel estimation as well as data detection of orthogonally modulated signals in an asynchronous DS-CDMA system over fading channels using the maximum likelihood (ML) approach. The overwhelming computational complexity of the ML algorithm makes it unfeasible for implementation. The emphasis of this paper is to reduce its complexity by some approximation methods. The derived approximative ML schemes are compared with conventional algorithms as well as some others, e.g., the parallel interference cancellation (PIC) for data detection and the subspace-based algorithm for acquisition

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 : 10 December 2002
Identification Number : 10.1109/ISSSTA.2002.1049316
Additional Information : © 2002 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 13:23
Last Modified : 09 Jun 2014 13:11
URI: http://epubs.surrey.ac.uk/id/eprint/798998

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