Robust UFIR Observer for WSNs With Multistep Random Delays and Multiple Packet Dropouts

• 成果类型: Article
• 署名作者: Uribe-Murcia, Karen J.; Shmaliy, Yuriy S.
• 署名单位: Universidad de Guanajuato
• 刊物名称: IEEE TRANSACTIONS ON AUTOMATIC CONTROL
• ISSN/ISSBN: 0018-9286
• DOI: 10.1109/TAC.2023.3295815
• 发表日期: 2023
• 页码: 6338-6344
• 关键词: Game theory H-infinity filter; Kalman filter (KF); mul-tiple packet dropouts; multistep delays; unbiased finite impulse response (UFIR) filter; wireless sensor networks (WSN)

摘要

The robust unbiased finite impulse response (UFIR) filter is developed for wireless sensor networks with multistep random delays and multiple dropouts. The problem is solved by converting a model with delays to another without delays. Experimental testing is provided by Global Positioning System-based vehicle tracking with randomly delayed data, using the standard Kalman filter (KF) and game theory H-infinity filter as benchmarks. It is shown that the UFIR filter is the most robust to uncertainties and that the KF is the most accurate when the delay probabilities are precisely known. The game theory H-infinity filter is the most accurate under ideal conditions and prone to divergency otherwise.