دورية أكاديمية
FBLS-Based Fusion Method for Unmanned Surface Vessel Positioning Considering Denoising Algorithm
| العنوان: | FBLS-Based Fusion Method for Unmanned Surface Vessel Positioning Considering Denoising Algorithm |
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| المؤلفون: | Qifu Wang, Songtao Liu, Bingyan Zhang, Chuang Zhang |
| المصدر: | Journal of Marine Science and Engineering, Vol 10, Iss 7, p 905 (2022) |
| بيانات النشر: | MDPI AG, 2022. |
| سنة النشر: | 2022 |
| المجموعة: | LCC:Naval architecture. Shipbuilding. Marine engineering LCC:Oceanography |
| مصطلحات موضوعية: | unmanned surface vessel, GPS/INS integration, broad learning, GPS outages, Naval architecture. Shipbuilding. Marine engineering, VM1-989, Oceanography, GC1-1581 |
| الوصف: | Although a USV navigation system is an important application of unmanned systems, combining Inertial Navigation System (INS) with Global Positioning System (GPS) can provide reliable and continuous solutions of positioning and navigation based on its several advantages; the random error characteristics of INS and the instability derived from the GPS signal blockage represent a potential threat to the INS/GPS integration of USV. Under this background, a composition framework based on nonlinear generalization capability of support vector machines (SVM) and multi-resolution ability of wavelet transform is used to solve the difficulty that the INS suffers from the interference of stochastic errors, and the dynamic information of the USV is not influenced. An innovative fuzzy broad learning structure based on the broad learning (BL) method is utilized in the INS/GPS integration of USV, in which the navigation information of INS and GPS are deemed as the input of the Fuzzy Broad Learning System (FBLS) to train the network, and then the trained network of FBLS and navigation information of INS are applied for estimating the optimal navigation solution during the GPS signal blockage. Based on the USV platform, a sea trial was carried out to confirm the validity and feasibility of the proposed method by comparing with existing algorithms for INS/GPS integration. The experimental results show that the proposed approach could achieve the better denoising effect from random errors of INS and provide high-accuracy navigation solutions during GPS signal blockage. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 2077-1312 |
| Relation: | https://www.mdpi.com/2077-1312/10/7/905; https://doaj.org/toc/2077-1312 |
| DOI: | 10.3390/jmse10070905 |
| URL الوصول: | https://doaj.org/article/d9e71746ba264d72b1a05a65dc3d7ab8 |
| رقم الأكسشن: | edsdoj.9e71746ba264d72b1a05a65dc3d7ab8 |
| قاعدة البيانات: | Directory of Open Access Journals |
Full Text Finder | تدمد: | 20771312 |
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| DOI: | 10.3390/jmse10070905 |