Application of Interactive Multiple Model Adaptive Five-Degree Cubature Kalman Algorithm Based on Fuzzy Logic in Target Tracking

• Published in: Symmetry (Basel) Vol. 11; no. 6; p. 767
• Main Authors: Wan, Jian, Ren, Peiwen, Guo, Qiang
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.06.2019
• Subjects: Adaptive algorithms; Algorithms; anti-ship missile tracking; Antiship missiles; cubature Kalman algorithm; Fuzzy logic; fuzzy logic algorithm; Fuzzy sets; interactive multimodel; Interactive multiple model tracking; Missile tracking; Missiles; Modules; Probability; Random variables; Robustness; Simulation; State estimation; Tracking
• ISSN: 2073-8994; 2073-8994
• DOI: 10.3390/sym11060767

Aiming at the shortcomings of low precision, hysteresis, and poor robustness of the general interactive multimodel algorithm in the “snake-like” maneuver tracking of anti-ship missiles, an interactive multimodel adaptive five-degree cubature Kalman algorithm based on fuzzy logic (FLIMM5ACKF) is proposed. The algorithm mainly includes adaptive five-degree cubature Kalman algorithm (A5CKF) and fuzzy logic algorithm (FL). A5CKF uses the Sage–Husa noise estimation principle to propose a state error covariance adaptive five-degree cubature Kalman algorithm to improve the performance of state estimation. Then, the fuzzy logic algorithm (FL) is added to the model probability update module to control the model probability update module. Finally, by setting the same tracking model simulation analysis, the algorithm has better convergence speed, tracking effect and robustness than the interactive multimodel cubature Kalman algorithm (IMMCKF), the interactive multimodel five-degree cubature Kalman algorithm (IMM5CKF) and the interactive multimodel adaptive five-degree cubature Kalman (IMMA5CKF).