Our research suggests that the unscented Kalman filtering is more robust to the error accumulation and better suits for treating target tracking models with ...
Our research suggests that the unscented Kalman filtering is more robust to the error accumulation and better suits for treating target tracking models with ...
Our research suggests that the unscented Kalman filtering is more robust to the error accumulation and better suits for treating target tracking models with ...
A variable-stepsize unscented Kalman filter for treating continuous-time stochastic models in radar tracking, numerically, grounded in the Gauss-type nested ...
On Computational Robustness of Accurate Continuous-Discrete Unscented Kalman Filtering for Target Tracking Models. AuthID. P-00M-QV5. 2. Author(s). Kulikova, MV.
It is intended for an accurate and robust state estimation in nonlinear continuous–discrete stochastic systems of various sorts, including in radar tracking ...
2024/01/13 · This paper presents a new state estimation technology grounded in the unscented Kalman filtering for nonlinear continuous-time stochastic ...
On computational robustness of accurate continuous-discrete unscented Kalman filtering for target tracking models · A mixed-type accurate continuous-discrete ...
It is intended for an accurate and robust state estimation in nonlinear continuousdiscrete stochastic systems of various sorts, including in radar tracking ...
This paper addresses the problem of designing the continuous–discrete unscented Kalman filter (UKF) implementation methods.