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• W1618671149 abstract "An indoor positioning system based on Receive Signal Strength Indication(RSSI) from wireless access equipment has become very popular in recent years. This system is very useful in many applications such as tracking service for older people or customer inside living communities, mobile robot localization, logistics systems etc. While outdoor environment using Global Navigation Satellite System(GNSS) and cellular network work well and are widespread used for navigation. However, there is a problem with signal propagation from satellites or cell site. They cannot be used effectively inside complex building areas or even in an urban environment. In general, the widely used method for indoor environment positioning based on Wi-Fi consists with two main categories, which are trilateration technique and location fingerprint technique(LF). It is already known that the explicit positioning performance of trilateration technique is more sensitive to noise effect than LF technique. Nevertheless, the accuracy of LF technique depends on training data set and it does not work well when environment changes. In this article, we propose the hybrid algorithm, the combination of the advantages of both systems, which is able to improve the accuracy stability and robustness. The performance of this algorithm is evaluated by the experimental results, which shows that our proposed scheme can achieve a certain level of positioning system accuracy." @default.
• W1618671149 created "2016-06-24" @default.
• W1618671149 creator A5024150556 @default.
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• W1618671149 date "2014-10-01" @default.
• W1618671149 modified "2023-09-25" @default.
• W1618671149 title "Hybrid technique for indoor positioning system based on Wi-Fi received signal strength indication" @default.
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• W1618671149 doi "https://doi.org/10.1109/ipin.2014.7275467" @default.
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