期刊
NEUROCOMPUTING
卷 159, 期 -, 页码 288-297出版社
ELSEVIER
DOI: 10.1016/j.neucom.2015.01.028
关键词
Navigability analysis; Geomagnetic aided navigation; Projecting pursuit-based selection method; Firefly algorithm
资金
- National Natural Science Foundation of China [51379049]
- Fundamental Research Funds for the Central Universities of China [HEUCFX41302]
- Scientific Research Foundation for the Returned Overseas Chinese Scholars, Heilongjiang Province [LC2013C21]
The performance of geomagnetic aided navigation is closely related to the selection of geomagnetic matching area. This paper mainly studies the selection method of multi-parameter geomagnetic matching area based on the projection pursuit model, and then adopts the firefly algorithm, particle swarm optimization algorithm and differential evolution algorithm to obtain the optimal projection direction. After that, we compare the optimizing results comprehensively and give the evaluation of navigation performance in geomagnetic matching area to provide the basis for the selection of matching area. The implementation results show that when there are large differences between the characteristic parameters, the computation efficiency of firefly algorithm performs significantly better than the other two optimization algorithms. And under the same experimental conditions, the optimal geomagnetic matching area obtained by the method presented in this paper has the minimum matching position error and optimal navigation performance. (C) 2015 Elsevier B.V. All rights reserved.
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