期刊
IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS
卷 58, 期 5, 页码 4761-4770出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TAES.2022.3155588
关键词
-
资金
- Mexican CONACyT-SEP Project [A1-S10287, CB2017-2018]
In this article, a novel approach is proposed to develop a robust H-2-OFIR filter for disturbed systems under initial and measurement errors. It is shown that the proposed filter outperforms other filters in terms of accuracy and robustness in GPS-based tracking of moving vehicles.
In harsh environments, tracking is organized assuming disturbances, initial errors, and data errors that requires robust algorithms. In this article, we develop, in discrete-time state space, a robust a posteriori H-2 optimal finite impulse response (H-2-OFIR) filter of disturbed systems under initial and measurement errors. The derivation is provided using a novel H-2 finite impulse response (H-2-FIR) state estimation approach by minimizing the squared Frobenius norm of the weighted transfer function. The robust H-2-OFIR filter is designed for full block error matrices, and its recursive forms are shown for diagonal error matrices. Also presented is the suboptimal H-2-FIR filtering algorithm using the linear matrix inequality. It is shown that, in global-positioning-system-based tracking of moving vehicles, the H-2-OFIR filter outperforms the Kalman and unbiased FIR filters in terms of accuracy and robustness. Moreover, the ability to operate on short horizons makes the H-2-OFIR filter computationally efficient.
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