Paper Title:
A New Correlation Matching Algorithm Based on Differential Evolution for Aircraft Geomagnetic Aid Navigation
  Abstract

Considering the requirements of the high accuracy, high reliability and real-time capability for the aircraft geomagnetic correlation matching algorithm, the similarity core function, geomagnetic properties and search methods will be processed synthetically in this paper. The correlation variance is introduced as the similarity core function, the feature normalization of the geomagnetic field is introduced as the matching parameters and the differential evolution algorithm is introduced for reducing the running time. The experiments have been done in the laboratory based on the actual measured geomagnetic field data, its results show that: the matching probability and accuracy of the new algorithm are better than the traditional one on the whole and the average running time is shortened from 7~11s to 1~2s.

  Info
Periodical
Chapter
Chapter 7: Computer Simulation and CAD/CAE
Edited by
Xuejun Zhou
Pages
2032-2038
DOI
10.4028/www.scientific.net/AMM.94-96.2032
Citation
Z. Y. Xu, Y. Liu, L. Yan, "A New Correlation Matching Algorithm Based on Differential Evolution for Aircraft Geomagnetic Aid Navigation", Applied Mechanics and Materials, Vols. 94-96, pp. 2032-2038, 2011
Online since
September 2011
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Price
$32.00
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