This paper presents a distributed receding horizon filtering algorithm for multisensor continuous-time linear stochastic systems. Distributed fusion with a weighted sum structure is applied to local receding horizon Kalman filters having different horizon lengths. The fusion estimate of the state of a dynamic system represents the optimal linear fusion by weighting matrices under the minimum me...

We consider in this paper the passive multisensor Target Motion Analysis (TMA) problem. The ownship, typically a submarine, is equipped with a Cylindrical Antenna (CA) and a Towed Antenna (TA), whose outputs are made of bearing tracks for the first one and bearing or bearing/frequency tracks for the second. The aim is to take advantage of the multisensor data fusion to improve the TMA process t...

The art and science of multisensor data fusion is the emerging foundation for the development of next generation network-centric decision support systems, including critical infrastructure protection. These challenging technical objectives require the cooperative signal processing of a federation of critical infrastructures. Publish-subscribe architectures provide process-to-process messaging i...

Before images obtained by multisensor cameras can be used in image analysis, corrections must be introduced for the differences in the gain or transfer functions of the sensors. Methods are here presented for obtaining the required information directly from the statistics of the sensor outputs. The assumption is made that the probability distribution of scene radiances seen by each sensor is th...

The purpose of data fusion is to produce an improved model or estimate of a system from a set of independent data sources. There are various multisensor data fusion approaches, of which Kalman filtering is one of the most significant. Methods for Kalman filter based data fusion include measurement fusion and state fusion. This paper gives a simple a review of fusion and state fusion, and second...

The implementation of intelligent transportation systems will produce a large amount data. resulting data is critical in the design and ITS system. This study discusses performance Support Vector Machine algorithm on an accident monitoring tool by utilizing Intelligent Transportation System that works real-time using Android-based application. experiment simulates with multisensor device. Multi...

The rearing of poultry for meat production (broilers) is an agricultural food industry with high relevance to the economy and development of some countries. Periodic episodes of extreme climatic conditions during the summer season can cause high mortality among birds, resulting in economic losses. In this context, ventilation systems within poultry houses play a critical role to ensure appropri...