Indoor Positioning Using Kalman Filter and Support Vector Machine Based on Bluetooth Low Energy
碩士 === 國立成功大學 === 工程科學系碩士在職專班 === 103 === This research has two objectives. The first objective is to propose an algorithm to improve the accuracy of indoor positioning. We reduce the signal by Kalman Filter. We also improve the correct prediction rate by Support Vector Machine. We named it as KF-SV...
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| Format: | Others |
| Language: | zh-TW |
| Published: |
2015
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| Online Access: | http://ndltd.ncl.edu.tw/handle/79169654995132751817 |