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eess.SP2023
A Covariance Adaptive Student's t Based Kalman Filter
Benyang Gong, Jiacheng He, Gang Wang +1
In the classical Kalman filter(KF), the estimated state is a linear combination of the one-step predicted state and measurement state, their confidence level change when the predic…
eess.SP2023
Distributed fusion filter over lossy wireless sensor networks with the presence of non-Gaussian noise
Jiacheng He, Bei Peng, Zhenyu Feng +3
The information transmission between nodes in a wireless sensor networks (WSNs) often causes packet loss due to denial-of-service (DoS) attack, energy limitations, and environmenta…
eess.SP2023
A Model Fusion Distributed Kalman Filter For Non-Gaussian Observation Noise
Xuemei Mao, Gang Wang, Bei Peng +4
Wireless sensor networks (WSNs) represent a critical research domain within the Internet of Things (IoT) technology. The distributed Kalman filter (DKF) has garnered significant at…