This paper is concerned with the filtering problem for both discrete-time stochastic linear (DTSL) systems and discrete-time stochastic nonlinear (DTSN) ...

In this paper, we discuss minimum variance filters (MVFs) with multiple packet losses for systems that are considered not only DTSL systems but also DTSN ...

The experience result verifies feasibility and effectiveness of the proposed linear filter and shows that, compared with extended Kalman filter (EKF), ...

Optimal Filters with Multiple Packet Losses and its Application in Wireless Sensor Networks. This paper is concerned with the filtering problem for both ...

This paper is concerned with the optimal filtering problem for discrete-time stochastic linear systems with multiple packet dropouts, where the number of ...

Optimal Filters with Multiple Packet Losses and its Application in Wireless Sensor Networks // Sensors. 2010. Vol. 10. No. 4. pp. 3330-3350. ... Liu Y., Xu B., ...

This paper is concerned with the distributed Kalman filtering over the wireless sensor networks (WSNs) in the presence of intermittent observations and ...

Oct 22, 2024 · This paper studies the problem of optimal filtering of discrete-time systems with random sensor delay, multiple packet dropout and uncertain ...

The paper is concerned with Kalman filtering for wireless sensor network (WSN) with multiple multiplicative noises. Two measurements which are received ...

In order to increase estimation accuracy and reliability, a filter with finite packet losses called minimum variance filter (MVF) is designed for stochastic ...