2020 IEEE 91st Vehicular Technology Conference (VTC2020-Spring) 2020
DOI: 10.1109/vtc2020-spring48590.2020.9129422
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Kalman Filtering-Aided Hybrid Indoor Positioning System With Fingerprinting And Multilateration

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Cited by 11 publications
(11 citation statements)
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“…In order to improve the system accuracy some alternatives can be employed such as Probabilistics Methods (e.g., Kalman Filtering and Bayesian Filtering), Artificial Neural Network (ANN) and Machine Learning (e.g., Support Vector Machine and Particle Swarm Optimization). As example, an indoor localization simulation based on BLE using a hybrid approach that combines the Fingerprint (FP) and MLT techniques was proposed in [13]. An uniform motion is assumed and the lowest error achieved is 2.46 m when considering 5 APs in an environment of (60 × 40) m [13].…”
Section: Related Workmentioning
confidence: 99%
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“…In order to improve the system accuracy some alternatives can be employed such as Probabilistics Methods (e.g., Kalman Filtering and Bayesian Filtering), Artificial Neural Network (ANN) and Machine Learning (e.g., Support Vector Machine and Particle Swarm Optimization). As example, an indoor localization simulation based on BLE using a hybrid approach that combines the Fingerprint (FP) and MLT techniques was proposed in [13]. An uniform motion is assumed and the lowest error achieved is 2.46 m when considering 5 APs in an environment of (60 × 40) m [13].…”
Section: Related Workmentioning
confidence: 99%
“…As example, an indoor localization simulation based on BLE using a hybrid approach that combines the Fingerprint (FP) and MLT techniques was proposed in [13]. An uniform motion is assumed and the lowest error achieved is 2.46 m when considering 5 APs in an environment of (60 × 40) m [13].…”
Section: Related Workmentioning
confidence: 99%
See 2 more Smart Citations
“…There are also several improvement methods for trilateration such as Multilateration and Heron Bilateration. Multilateration is a widespread technique used to estimate the user location based on its distance measurement [5] which is the same as Trilateration. The main differences in these methods are the number of the BLE that are used to estimate the user position are mostly more than 3 BLE, meanwhile in trilateration we only use 3 BLE to calculate the user position.…”
Section: Introductionmentioning
confidence: 99%