2016 IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM) 2016
DOI: 10.1109/sam.2016.7569756
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Array of sensors: A spatiotemporal-state-space model for target trajectory tracking

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“…However, KF cannot handle nonlinear estimation problems which can be solved by an extended Kalman filter (EKF), e.g. [13]- [15]. The proposed algorithm presented in this paper belongs to the EKF family of algorithm.…”
mentioning
confidence: 99%
“…However, KF cannot handle nonlinear estimation problems which can be solved by an extended Kalman filter (EKF), e.g. [13]- [15]. The proposed algorithm presented in this paper belongs to the EKF family of algorithm.…”
mentioning
confidence: 99%