Indoor Positioning of RBF Neural Network Based on Improved Fast Clustering Algorithm Combined With LM Algorithm
In the indoor environment, due to weak receiver signals, environmental noise, multipath interference, and non-line-of-sight propagation, the traditional positioning algorithms based on received signal strength indication (RSSI) have many problems, such as inaccurate positioning results, great depend...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2019-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8584443/ |