MR-BSCKF ROBUST TRACKING. A. M-Estimation Backward-Smoothing Robust Tracking. Criterion. Firstly, we introduce M-Estimation BacNward-Smoothing. Robust TracNing ...
The M-estimated based robust Backward-Smoothing Cubature Kalman filter (MR-BSCKF) is proposed, which the M-Estimation theory and backward-smoothing function ...
A New Robust CKF for Jammer Tracking. 2018 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC)（2018）. 引用 0|浏览4.
The cubature Kalman filter (CKF) is a new nonlinear Gaussian filtering method proposed by Canadian scholars in 2009 [11,12], which has been widely used in the ...
Cubature Kalman filter (CKF) is a common algorithm for nonlinear initial alignment. Under the condition of inaccurate system model and non-Gaussian observation ...
To tackle this issue, this paper proposes a technique that utilizes a robust cubature Kalman filter (RCKF) by integrating Huber's M-estimation theory with the ...
Missing: jammer | Show results with:jammer
The proposed RACKF algorithm adopts the robust M estimation to adjust cubature Kalman filter (CKF) algorithm so as to detect and reduce the influence "degree" ...
In this paper, we propose an algorithm for tuning both the kinematic and measurement noise Variance–Covariance (VCV) matrices to produce a more robust and ...
... tracking, a new robust adaptive cubature Kalman filter is proposed. The new method, which is based on the HCKF algorithm, introduces the two new, enhanced ...
Missing: jammer | Show results with:jammer
A novel High‐order extended Strong tracking filter (H‐STF) is proposed for a class of nonlinear systems. All high‐order polynomial terms in the state model ...