A Trilaminar Data Fusion Localization Algorithm Supported by Sensor Network
In order to overcome some problems, such as its low accuracy and failure in evaluating its performance, this paper use the weighted trilaminar data fusion of LS-RSSI to improve the incipient localization estimate values by analyze and study the lease square (LS) and Received Signal Strength Indicati...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IFSA Publishing, S.L.
2013-10-01
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| Series: | Sensors & Transducers |
| Subjects: | |
| Online Access: | http://www.sensorsportal.com/HTML/DIGEST/october_2013/P_1387.pdf |
| Summary: | In order to overcome some problems, such as its low accuracy and failure in evaluating its performance, this paper use the weighted trilaminar data fusion of LS-RSSI to improve the incipient localization estimate values by analyze and study the lease square (LS) and Received Signal Strength Indication (RSSI) algorithm. As a result, we obtain a trilaminar data fusion localization algorithm of LS-RSSI, which has a better optimized localization estimate value. This algorithm has the advantages of limited numbers of calculation and is able to reduce the localization errors. As shown in the simulation, we are able to get a much more accuracy and stable localization estimate value with the trilaminar data fusion technology. |
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| ISSN: | 2306-8515 1726-5479 |