Adaptive Huber-Based Filter for Hypersonic Cruise Vehicle Navigation

Adaptive Huber-Based Filter for Hypersonic Cruise Vehicle Navigation

Blog Article

The navigation for hypersonic cruise vehicle (HCV) is a challenging task because of the complex Barrel saddles vehicle dynamic and sensor measurement noise it suffered.This paper proposes a kind of adaptive robust Kalman filter using Mahalanobis distance for HCV navigation.The innovation-based adaptive estimation is discussed first.Based on Mahalanobis distance theory, a kind of robust covariance matrix estimation method is used to modify the innovation-based adaptive Kalman filter.

Considering that the vehicle maneuver characteristics and noise statistics parameters varies during different periods, dual-frequency tuning for unknown noise statistics is designed based on this.The algorithm proposed by this paper is applied CURCUMIN + PIPERINE to hypersonic cruise vehicle navigation.Simulation has been made to verify the performance of the new algorithm according to HCV flight profile and characteristics; both Gaussian and non-Gaussian simulation are included.