Multisensor Parallel Largest Ellipsoid Distributed Data Fusion with Unknown Cross-Covariances

Multisensor Parallel Largest Ellipsoid Distributed Data Fusion with Unknown Cross-Covariances

As the largest ellipsoid (LE) data fusion algorithm can only be applied to two-sensor system, in this contribution, parallel fusion structure is proposed to introduce the LE algorithm into a multisensor system with unknown cross-covariances, and three parallel fusion structures based on different estimate pairing methods are presented and analyzed. In order to assess the influence of fusion str...

Distributed Multisensor Data Fusion under Unknown Correlation and Data Inconsistency

The paradigm of multisensor data fusion has been evolved from a centralized architecture to a decentralized or distributed architecture along with the advancement in sensor and communication technologies. These days, distributed state estimation and data fusion has been widely explored in diverse fields of engineering and control due to its superior performance over the centralized one in terms...

Distributed Multisensor Fusion

Lucy Y. Pao Northwestern University Evanston, IL 60208 Abstract There have been several algorithms proposed for multisensor tracking of multiple objects using a centralized processing architecture, but because of considerations such as reliability, survivability, and communication bandwidth, distributed processing architectures are often the only alternative. The distributed fusion problem is m...

Multisensor Data Fusion

Multisensor Data Fusion in Distributed Sensor Networks Using Mobile Agents

We describe the deployment of mobile agent in Distributed Sensor Networks (DSNs) to form an improved infrastructure for multisensor data fusion. Compared with the traditional client/server paradigm, mobile agent adopts a new computing model: data stay at the local site, while the execution code is moved to the data sites. Mobile-agent-based DSN (MADSN) saves the network bandwidth and provides a...