NDLI: Gene expression programming based matching suitability analysis in geomagnetic aided navigation

Content Provider	IEEE Xplore Digital Library
Author	Peng Wang Xiaoping Hu Meiping Wu Hua Mu Lei Deng
Copyright Year	2013
Description	Author affiliation: Coll. of Mechatron. Eng. & Autom., Nat. Univ. of Defense Technol., Changsha, China (Peng Wang; Xiaoping Hu; Meiping Wu; Hua Mu) \|\| Coll. of Comput., Nat. Univ. of Defense Technol., Changsha, China (Lei Deng)
Abstract	In geomagnetic aided navigation (GAN), matching suitability denotes the navigability of candidate matching areas (CMAs) and can be characterized by the suitable-matching features extracted from geomagnetic map. However, the consistency between the single suitable-matching feature and matching probability is not satisfactory. Therefore the suitable-matching features are considered to be synthesized in order to analyze the matching suitability more effectively. In this study, gene expression programming (GEP) is utilized for feature synthesis, and correlation coefficient is treated as the fitness function. Experimental results show that the evolutionary synthetical feature is effective and owns more excellent performance than the single suitable-matching feature. The conclusions of this article can be used for selecting suitable-matching areas and further afford guidance for trajectory planning.
Sponsorship	IEEE Circuits Syst. Soc.
Starting Page	718
Ending Page	722
File Size	233197
Page Count	5
File Format	PDF
ISBN	9781467347143
ISSN	21579563
DOI	10.1109/ICNC.2013.6818069
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-07-23
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Correlation coefficient feature synthesis Navigation geomagnetic aided navigation Programming Feature extraction Educational institutions gene expression programming Indexes Gene expression matching suitability
Content Type	Text
Resource Type	Article

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