Energy Efficient Received Signal Strength-Based Target Localization and Tracking Using Support Vector Regression

Energy Efficient Received Signal Strength-Based Target Localization and Tracking Using Support Vector Regression

The unpredictable noise in received signal strength indicator (RSSI) measurements in indoor environments practically causes very high estimation errors in target localization. Dealing with high noise in RSSI measurements and ensuring high target-localization accuracy with RSSI-based localization sys...

詳細記述

書誌詳細
主要な著者: Jahir Pasha Molla, Dharmesh Dhabliya, Satish R. Jondhale, Sivakumar Sabapathy Arumugam, Anand Singh Rajawat, S. B. Goyal, Maria Simona Raboaca, Traian Candin Mihaltan, Chaman Verma, George Suciu
フォーマット: 論文
言語:English
出版事項: MDPI AG 2023-01-01
シリーズ:Energies
主題:
received signal strength indicator (RSSI)
trilateration
indoor localization
kalman filter (KF)
support vector regression (SVR)
generalized regression neural network (GRNN)
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https://www.mdpi.com/1996-1073/16/1/555

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