A Dynamic Self-Tuning Maximum Correntropy Kalman Filter for Wireless Sensors Networks Positioning Systems

To improve the accuracy of the maximum correntropy Kalman filter (MCKF) in wireless sensors networks (WSNs) positioning, a dynamic self-tuning maximum correntropy Kalman filter (DSTMCKF) is proposed, where innovation and the sensors information of the WSNs are used to adjust the noise covariance mat...

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Principais autores:	Tianrui Liao, Kaoru Hirota, Xiangdong Wu, Shuai Shao, Yaping Dai
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2022-09-01
coleção:	Remote Sensing
Assuntos:	wireless sensors networks maximum correntropy Kalman filter dynamic self-tuning algorithm range-based positioning
Acesso em linha:	https://www.mdpi.com/2072-4292/14/17/4345
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