By Topic

Optimized processing of satellite signal via evolutionary search algorithm

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
$31 $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

3 Author(s)
Hassan, A. ; Satellite Navigation Res. Group, Univ. Teknologi Malaysia, Skudai, Malaysia ; Othman, R. ; Tang Kieh Ming

Researchers from the Satellite Navigation Research Group (SNAG) of UTM are currently conducting a research program that mitigates the effect of the Anti-Spoofing (AS) policy. A robust strategy, called the Pseudo Randomized Search Strategy (PRSS) has been developed to counter the effect of this AS policy. The PRSS algorithm is an adaptive search technique that can learn a high performance knowledge structure in reactive environments that provide information as an objective function. A combination of three methods, namely optimization, global random search and ambiguity function mapping has produced an efficient and robust mitigation technique. Numerical results indicate that, in all the test cases, no more than 4% search of the total search space was investigated to determine the correct set of answers. This result implies that the size of the search window does not play an important role in determining the search efficiency. This will take away the constraint resulted from the AS policy in processing the GPS satellites signal. The algorithm also shows its robustness because it does not require a good initial starting point. Using a different initial point, all of them produced the correct results

Published in:

TENCON 2000. Proceedings  (Volume:1 )

Date of Conference:

2000