Wei Huang

Sparse Adaptive Kernel Kalman Filter for Nonlinear Non-Gaussian State Estimation

The adaptive kernel Kalman filter (AKKF) provides a state estimation framework for nonlinear and non-Gaussian systems by synergizing data-space particle propagation with kernel-space Kalman updates. However, expanding the particle set to improve tracking accuracy inevitably induces severe computational burden and numer...