Passive Maneuvering Target Tracking via Nonlinear Estimation Fusion with Information Feedback

Li-Wei Fong ； Pi-Ching Lou ； Lianggang Lu

《Journal of Aeronautics, Astronautics and Aviation》 51卷4期 Vol.51 No.4 (2019/12) Pp. 403-414

https://doi.org/10.6125/JoAAA.201912_51(4).06

摘要

In this paper, a federated filtering algorithm of nonlinear estimation fusion with information feedback is developed for a maneuvering target tracking using a multi-passive-sensor system. The algorithm that consists of a bank of local processors, a global processor and a pseudo-range estimator is designed for processing angle-only measurements. The pseudo-range estimator based on angle of arrival information is introduced to generate the tracking initialization for each local processor. An extended Kalman filter as a local processor is utilized for state and state covariance extrapolation and updating. For integrating the outputs of local processors, a recursive least squares estimator as a global processor is used to sequentially generate a global estimate for system outputs and information feedback. Computer simulation results show that the modified spherical coordinate state estimation convergence of each local processor is greatly accelerated by using information feedback. The proposed algorithm markedly improves the local tracking accuracy as well.

關鍵字

Federated filtering ； Information feedback ； Maneuvering target tracking ； Angle-only measurements ； Pseudo-range estimator