Sensor defect detection in multisensor information fusion

Algorithms for Sensor Validation and Multisensor Fusion

Doctor of Philosophy ALGORITHMS FOR SENSOR VALIDATION AND MULTISENSOR FUSION by Sean James Wellington Existing techniques for sensor validation and sensor fusion are often based on analytical sensor models. Such models can be arbitrarily complex and consequently Gaussian distributions are often assumed, generally with a detrimental effect on overall system performance. A holistic approach has t...

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...

Multisensor Information Fusion State Estimator for Systems with Random Sensor Errors

In this paper, a multisensor distributed information fusion state estimator for discrete time stochastic linear systems with random sensor errors is presented. Based on state-space model, the white noise estimator and the observation predictor are applied in this algorithm. Modern time series analysis method and Gevers-Wouters(G-W) algorithm are also used in this paper. The algorithm can deal w...

Multisensor Data Fusion

Multisensor Fusion and Integration

Multisensor fusion and integration is a rapidly evolving research area and requires interdisciplinary knowledge in control theory, signal processing, artificial intelligence, probability and statistics, etc. The advantages gained through the use of redundant, complementary, or more timely information in a system can provide more reliable and accurate information. This paper provides an overview...