Direction navigability analysis of geomagnetic field based on Gabor filter

doi:10.21629/JSEE.2018.02.18

Journal of Systems Engineering and Electronics ›› 2018, Vol. 29 ›› Issue (2): 378-385.doi: 10.21629/JSEE.2018.02.18

• Control Theory and Application • Previous Articles Next Articles

Direction navigability analysis of geomagnetic field based on Gabor filter

Jing XIAO¹(), Xiusheng DUAN^1,*(), Xiaohui QI¹(), Jianchen WANG²()

¹ Army Engineering University, Shijiazhuang 050003, China
² Government Representative Office, Northwestern Polytechnical University, Xi'an 710065, China

Received:2017-02-27 Online:2018-04-26 Published:2018-04-27
Contact: Xiusheng DUAN E-mail:xiao_jing801@163.com;sjzdxsh@163.com;qi-xh@163.com;lichen197@163.com
About author:XIAO Jing was born in 1989. She is a Ph.D. candidate at the Department of Unmanned Aerial Vehicle Engineering in Army Engineering University. She received her master's degree from the Ordnance Engineering College in 2014. Her current research interests are geomagnetic navigation and integrated navigation. E-mail: xiao_jing801@163.com|DUAN Xiusheng was born in 1970. He is a Ph.D. and a professor at the Department of Electronic and Optical Engineering in Army Engineering University. He received his master's degree from Electronic Engineering College in 1996 and his doctor's degree from Ordnance Engineering College in 2009. His current research interests include navigation, guidance and control. E-mail: sjzdxsh@163.com|QI Xiaohui was born in 1962. She is a Ph.D. and a professor at the Department of Unmanned Aerial Vehicle Engineering in Army Engineering University. Her research interests cover flight control theory and application for unmanned aerial vehicles. E-mail: qi-xh@163.com|WANG Jianchen was born in 1987. He is an engineer in the Government Representative Office of the Northwestern Polytechnical University. He respectively received his master's degree in 2011 and doctor's degree in 2015 from Ordnance Engineering College. His research interests are flight control theory and navigation of unmanned aerial vehicles. E-mail: lichen197@163.com
Supported by:
the Key Project of Military Research on Weapons and Equipment(2014551);This work was supported by the Key Project of Military Research on Weapons and Equipment (2014551)

Abstract

Abstract:

Direction navigability analysis is a supplement to the navigability analysis theory, in which extraction of the direction suitable-matching features (DSMFs) determines the evaluation performance. A method based on the Gabor filter is proposed to estimate the direction navigability of the geomagnetic field. First, the DSMFs are extracted based on the Gabor filter's responses. Second, in the view of pattern recognition, the classification accuracy in fault diagnosis is introduced as the objective function of the hybrid particle swarm optimization (HPSO) algorithm to optimize the Gabor filter's parameters. With its guidance, the DSMFs are extracted. Finally, a direction navigability analysis model is established with the support vector machine (SVM), and the performances of the models under different objective functions are discussed. Simulation results show the parameters of the Gabor filter have a significant influence on the DSMFs, which, in turn, affects the analysis results of direction navigability. Moreover, the risk of misclassification can be effectively reduced by using the analysis model with optimal Gabor filter parameters. The proposed method is not restricted in geomagnetic navigation, and it also can be used in other fields such as terrain matching and gravity navigation.

Key words: geomagnetic navigation, navigability analysis, direction navigability, Gabor filter, direction suitable-matching feature

Jing XIAO, Xiusheng DUAN, Xiaohui QI, Jianchen WANG. Direction navigability analysis of geomagnetic field based on Gabor filter[J]. Journal of Systems Engineering and Electronics, 2018, 29(2): 378-385.

Figures/Tables 13

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References 16

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DSMF	Macroscopic feature	Microscopic feature
Fluctuation	Mean, standard deviation, accumulative mean gradient, kurtosis coefficient, skewness coefficient	Roughness, eastward roughness, westward roughness, roughness/variance, standarddeviation/mean, mean gradi-ent, gradient standard devia-tion, fractal dimension
Information	Fisher information	Entropy
Uniqueness	Correlation coefficient

Objectivefunction	CA₁	CA₀	AA	OA
OA	99.09	98.81	98.95	99.00
CA₀	99.09	99.21	99.15	99.13
None	91.96	47.43	69.69	77.88

Direction navigability analysis of geomagnetic field based on Gabor filter

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