We analyze a distributed two-stage algorithm. The first stage is a Kalman-like estimate update, in which each agent makes use only of its own measurements.
This paper investigates the problem of distributed state estimation over a low-cost sensor network and proposes a new sample greedy gossip distributed Kalman ...
Oct 5, 2018 · Compared with the centralized algorithm, distributed filtering techniques require less computation per sensor and lead to more robust estimation ...
Aug 8, 2020 · This paper investigates the problem of distributed state estimation over a low-cost sensor network and proposes a new sample greedy gossip ...
Jul 28, 2021 · Compared with centralized algorithm, distributed filtering techniques require less computation per sensor and lead to more robust estimation ...
Aug 3, 2020 · This paper investigates the problem of distributed state estimation over a low-cost sensor network and proposes a new sample greedy gossip ...
Oct 5, 2018 · Abstract—This paper is concerned with developing a novel distributed Kalman filtering algorithm over wireless sensor net-.
Dec 3, 2020 · In this study, a kind of distributed Kalman filter based on the non-repeated diffusion strategy is proposed in order to improve the estimation accuracy of ...
Missing: randomized | Show results with:randomized
The paper presents the gossip interactive Kalman filter (GIKF) for distributed Kalman filtering for networked systems and sensor networks, ...
Missing: randomized | Show results with:randomized
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This paper investigates the distributed state estimation problem for a linear time-invariant system characterized by fading measurements and random link ...
Missing: randomized | Show results with:randomized