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Improving the Heading Accuracy in Indoor Pedestrian Navigation Based on a Decision Tree and Kalman Filter
In pedestrian inertial navigation, multi-sensor fusion is often used to obtain accurate heading estimates. As a widely distributed signal source, the geomagnetic field is convenient to provide sufficiently accurate heading angles. Unfortunately, there is a broad presence of artificial magnetic pertu...
Autores principales: | Hu, Guanghui, Zhang, Weizhi, Wan, Hong, Li, Xinxin |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7146404/ https://www.ncbi.nlm.nih.gov/pubmed/32178289 http://dx.doi.org/10.3390/s20061578 |
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