Triple GPS Localization Public Deposited

http://ir.library.oregonstate.edu/concern/undergraduate_thesis_or_projects/bk128c910

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  • The purpose of this thesis is to increase the positional accuracy of Global Position System (GPS) modules using an artificial intelligence algorithm. Three basic and identical GPS modules were setup in an equilateral triangle formation with side lengths of one meter. The triangle was placed in four separate locations where approximately 700 GPS data points were collected per GPS module. The data was then analyzed and tested using a Gaussian distribution. In the best-case scenario, the Triple GPS Localization algorithm was able to improve the localization accuracy by 82%. This shows that utilizing a machine-learning algorithm can improve the positional accuracy of any GPS module.
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  • description.provenance : Approved for entry into archive by Digital Production(digitalproduc@gmail.com) on 2012-06-27T20:25:17Z (GMT) No. of bitstreams: 1 Thesis Triple GPS Localization.pdf: 2520481 bytes, checksum: bab470859b3e0c082c51e582327a645e (MD5)
  • description.provenance : Submitted by Emily Dray (emily.dray@oregonstate.edu) on 2012-06-15T17:43:32Z No. of bitstreams: 1 Thesis Triple GPS Localization.pdf: 2520481 bytes, checksum: bab470859b3e0c082c51e582327a645e (MD5)
  • description.provenance : Made available in DSpace on 2012-06-27T20:25:17Z (GMT). No. of bitstreams: 1 Thesis Triple GPS Localization.pdf: 2520481 bytes, checksum: bab470859b3e0c082c51e582327a645e (MD5) Previous issue date: 2012-05-31

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