A highly efficient implementation method for distributed fusion in sensor networks based on
CPHD filters is proposed to address the issues of unknown cross-covariance fusion …

Achieving fast and accurate average consensus is pivotal for numerous collaborative tasks
in wireless sensor networks (WSNs). Toward this end, this article explores the design of …

Underwater acoustic sensor networks (UASNs) have attracted considerable attention and
are extensively employed for tracking underwater targets. However, due to the complex …

For state estimation of multi-source asynchronous measurement systems with measurement
missing phenomena, this paper proposes a distributed sequential inverse covariance …

This article addresses the distributed state estimation problem in wireless sensor networks
(WSNs) under potential threats from malicious cyberattacks. A distributed H filtering (DHF) …

For distributed estimations in a sensor network, the consistency and accuracy of an
estimator are greatly affected by the unknown correlations between individual estimates. An …

Recently, preserving privacy and reducing energy consumption become important concerns
of sensor networks. However, existing privacy‐preserving estimation methods cause many …

This paper studies the problem of distributed state estimation (DSE) over sensor networks
on matrix Lie groups, which is crucial for applications where system states evolve on Lie …

The growing relevance of multi-agent systems has drawn increasing focus on
communication-efficient filters for collaborative target tracking to alleviate the system's …

The simultaneous localization and mapping approach is used to predict a robot's location as
there is a concern in predicting a robot's movement in lane environment. Simultaneous …