Performance comparative study between vector and ECOLOCATION algorithms for indoor positioning
| Autor: | Y. A. S. Dama, M. S. Bin-Melha, Raed A. Abd-Alhameed, Ali Alabdullah, Omar Obeidat, M. Bombara, Wafa Shuaieb, S. M. R. Jones, H. A. Obeidat |
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| Rok vydání: | 2017 |
| Předmět: |
0209 industrial biotechnology
Computer science business.industry RSS 020206 networking & telecommunications 02 engineering and technology computer.file_format 020901 industrial engineering & automation Software Signal strength 0202 electrical engineering electronic engineering information engineering Wireless Position error Ray tracing (graphics) Radio frequency business MATLAB computer Algorithm computer.programming_language |
| Zdroj: | 2017 Internet Technologies and Applications (ITA). |
| DOI: | 10.1109/itecha.2017.8101944 |
| Popis: | A comparative study of performance is conducted between two indoor positioning algorithms described in the Literature, the Vector and Ecolocation algorithms. Both use received signal strength (RSS) to implement a radio frequency fingerprinting technique. The experiment is conducted using commercial ray tracing software called Wireless Insite and Matlab. The Vector algorithm performs better than the Ecolocation algorithm, which suffers heavily from an ambiguity issue. For the Vector algorithm, the median position error was 2.79 m and 90% of errors were less than 5.72 m. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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