Improved Particle Filter in Machine Learning-Based BLE Fingerprinting Method to Reduce Indoor Location Estimation Errors

Indoor position fingerprint-based location estimation methods have been widely used by applications on smartphones. In these localization estimation methods, it is very popular to use the RSSI (Received Signal Strength Indication) of signals to represent the position fingerprint. This paper proposes...

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書誌詳細

主要な著者:	Jingshi Qian, Jiahe Li, Nobuyoshi Komuro, Won-Suk Kim, Younghwan Yoo
フォーマット:	Artigo
言語:	Inglês
出版事項:	MDPI AG 2024-06-01
シリーズ:	Future Internet
主題:	indoor positioning RSSI fingerprinting k-nearest neighbors bluetooth low energy particle filter
オンライン･アクセス:	https://www.mdpi.com/1999-5903/16/6/211
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