By Topic

Matching area intelligent selection method in geomagnetic navigation

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

5 Author(s)
Yuan Sun ; Xi''an Res. Inst. of High-tech, Xi''an, China ; Jin-sheng Zhang ; Yu-kun Qiao ; Wei Jiao
more authors

Geomagnetic navigation needs matching areas with a good matching performance. Immunity particle swarm optimal (PSO) algorithm is used to select the optimal matching area intelligently in geomagnetic reference map, taking geomagnetic entropy as a characteristic parameter to measure the characteristic of each matching area. Mean square deviation (MSD) and normalized product (NProd) algorithms are both used in simulation experiments. Results indicate the consistency between matching probability and matching area selection policy, and the validity of characteristic parameter selection. This method can be useful in geomagnetic navigation.

Published in:

Intelligent Computing and Intelligent Systems (ICIS), 2010 IEEE International Conference on  (Volume:1 )

Date of Conference:

29-31 Oct. 2010