A integrated Navigation Filtering Method Based on Wavelet Neural Network
Aiming at the problems of the difficulty to establish the model and the large data dimension for the traditional integrated navigation method, a method of using the wavelet neural network to directly predict the position and velocity error information is proposed. Get rid of the mathematical model e...
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| Published in | Journal of physics. Conference series Vol. 1302; no. 4; pp. 42014 - 42020 |
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| Main Authors | , , |
| Format | Journal Article |
| Language | English |
| Published |
Bristol
IOP Publishing
01.08.2019
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| Abstract | Aiming at the problems of the difficulty to establish the model and the large data dimension for the traditional integrated navigation method, a method of using the wavelet neural network to directly predict the position and velocity error information is proposed. Get rid of the mathematical model establishment, void introducing new errors in the model establishment, and adopt multiple parallel networks to reduce the dimensionality of the data, which greatly reduces the amount of calculation. The Kalman filter is used as a reference for simulation experiment. The results show that the proposed method can effectively improve the accuracy and real-time performance of the integrated navigation system, and provides a new feasible path for combined navigation filtering. |
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| AbstractList | Aiming at the problems of the difficulty to establish the model and the large data dimension for the traditional integrated navigation method, a method of using the wavelet neural network to directly predict the position and velocity error information is proposed. Get rid of the mathematical model establishment, void introducing new errors in the model establishment, and adopt multiple parallel networks to reduce the dimensionality of the data, which greatly reduces the amount of calculation. The Kalman filter is used as a reference for simulation experiment. The results show that the proposed method can effectively improve the accuracy and real-time performance of the integrated navigation system, and provides a new feasible path for combined navigation filtering. |
| Author | Tao, Zhu Huang, Ying Gao, Saisai |
| Author_xml | – sequence: 1 givenname: Zhu surname: Tao fullname: Tao, Zhu email: 375144587@qq.com organization: Graduate Brigade, Engineering University of the Chinese People's Armed Police Force , China – sequence: 2 givenname: Saisai surname: Gao fullname: Gao, Saisai email: 804075883@qq.com organization: Graduate Brigade, Engineering University of the Chinese People's Armed Police Force , China – sequence: 3 givenname: Ying surname: Huang fullname: Huang, Ying email: 375144587@qq.com organization: Graduate Brigade, Engineering University of the Chinese People's Armed Police Force , China |
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| Copyright | Published under licence by IOP Publishing Ltd 2019. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. |
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| DOI | 10.1088/1742-6596/1302/4/042014 |
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| References | Qin (JPCS_1302_4_042014bib1) 2012 Wu (JPCS_1302_4_042014bib5) 2007 Lin (JPCS_1302_4_042014bib2) 2017 Li (JPCS_1302_4_042014bib3) 2018; 39 Zhou (JPCS_1302_4_042014bib4) 2015; 23 |
| References_xml | – year: 2017 ident: JPCS_1302_4_042014bib2 – volume: 39 start-page: 74 year: 2018 ident: JPCS_1302_4_042014bib3 article-title: BDS/INS Positioning Based on PSO Wavelet Neural Network-Assisted Kalman Filter [J] publication-title: Journal of Automation – volume: 23 start-page: 2518 year: 2015 ident: JPCS_1302_4_042014bib4 article-title: The Strapdown Inertial Navigation Transfer Alignment Based on Wavelet Network-Assisted Kalman Filter [J] publication-title: Computer Measurement & Control – year: 2012 ident: JPCS_1302_4_042014bib1 – start-page: 124 year: 2007 ident: JPCS_1302_4_042014bib5 article-title: GPS/INS Integrated Navigation Based on Wavelet Threshold Denoising Adaptive Filtering [J] publication-title: Journal of Surveying and Mapping |
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| SubjectTerms | Kalman filters Mathematical models Navigation systems Neural networks Physics Velocity errors |
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| Title | A integrated Navigation Filtering Method Based on Wavelet Neural Network |
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