Collaborative-Prediction-Based Recursive Filtering for Nonlinear Systems Subject to Low-Duty-Cycle Scheduling

• Published in: IEEE transactions on signal processing Vol. 72; pp. 1 - 13
• Main Authors: Gao, Hongyu, Yu, Lindong, Hou, Nan, Song, Jinbo, Li, Yue
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.01.2024; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Collaboration; Collaborative prediction algorithm; Covariance; Covariance matrices; Filtration; low-duty-cycle scheduling; Nonlinear systems; nonlinear time-varying systems; Performance degradation; Petroleum; Prediction algorithms; recursive filtering; Resource scheduling; Scheduling; Signal processing algorithms; Time measurement; Time-varying systems; Wireless sensor networks

In this paper, the recursive filtering problem is investigated for the nonlinear time-varying systems with the collaborative prediction algorithm (CPA) under a low-duty-cycle wireless transmission mechanism. To significantly save energy and bandwidth resources, low-duty-cycle scheduling (LDCS) is em...