Jul 16, 2018 · This paper proposes a robust consensus nonlinear information filter for distributed state estimation with measurement outliers. Unlike the ...

This paper proposes a robust con- sensus nonlinear information filter for distributed state estimation with measurement outliers. Unlike the Gaussian assumption ...

A robust consensus nonlinear information filter for distributed state estimation with measurement outliers with Gaussian approximation under the framework ...

The traditional consensus-based filters are widely used in distributed sensor networks. However, they suffer from divergence when outliers occur.

This paper proposes a robust distributed state estimation algorithm for sensor networks. In a distributed sensor network, sensor nodes may be affected by ...

Oct 29, 2018 · Consensus filtering is an effective method for distributed state estimation of distributed sensor networks and the assumption of white ...

Robust consensus nonlinear information filter for distributed sensor networks with measurement outliers. P Dong, Z Jing, H Leung, K Shen, M Li. IEEE ...

Abstract— We consider state estimation for networked systems, where measurements from sensor nodes are contaminated by outliers.

An event-triggered distributed diffusion robust cubature Kalman filter is proposed by applying the cubature criterion, CI technique and diffusion strategy.

Mar 29, 2021 · This letter addresses the consensus-based nonlinear state estimation in distributed sensor networks with unknown measurement noise ...