By Topic

Blind estimation of signal in periodic long-code DSSS communications

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Saeed Daneshmand ; Electrical Engineering Department Amirkabir University of Technology, Tehran, Iran ; Hassan Aghaeinia ; Mahdi Tohidian ; Ali Jafarnia Jahromi

This paper discusses blind estimation of periodic long-code (PLC) direct sequence spread spectrum (DSSS) signal. We model a PLC DSSS signal as equivalent to a multiuser short-code DSSS system. This enables us to exploit second-order statistics (SOS) to estimate users' spreading codes up to an inherent ambiguity matrix. Using the structure of the spreading codes of these virtual users and without further restricting assumptions, we will show that the ambiguity matrix can be estimated which would lead us to the extraction of spreading codes. Exploiting similar ideas, we will extend the proposed algorithm to blind estimation of the PLC DSSS signal in multipath environment. Finally, simulations are presented to demonstrate the superior performance of the proposed algorithm.

Published in:

Sarnoff Symposium, 2009. SARNOFF '09. IEEE

Date of Conference:

March 30 2009-April 1 2009