Bayesian filtering with unknown sensor measurement losses

• المؤلفون الرئيسيون: Zhang, Jiaqi, You, Keyou, Xie, Lihua
• مؤلفون آخرون: School of Electrical and Electronic Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2020
• الموضوعات: Engineering::Electrical and electronic engineering; Intermittent Kalman filter (IKF); Networked Estimation
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/145323

This paper studies the state estimation problem of a stochastic nonlinear system with unknown sensor measurement losses. If the estimator knows the sensor measurement losses of a linear Gaussian system, the minimum variance estimate is easily computed by the celebrated intermittent Kalman filter (IK...