Unknown correlations (UCs) generally exist in a wide spectrum of practical multi-source
information fusion problems, and thereby, their corresponding fusion problems have …

Multisensor data fusion is the process of combining observations from a number of different
sensors to provide a robust and complete description of an environment or process of …

The Internet of Things (IoT) is set to become one of the key technological developments of
our times provided we are able to realize its full potential. The number of objects connected …

In today's world, Global positioning system (GPS)-based navigation is inexpensive for
providing position, velocity, and time (PVT) information. GPS receivers are widely used on …

This paper presents a new multi-sensor optimal information fusion criterion weighted by
matrices in the linear minimum variance sense, it is equivalent to the maximum likelihood …

This note deals with the effect of the common process noise on the fusion (combination) of
the state estimates of a target based on measurements obtained by two different sensors …

As the field of communications networks continues to evolve, the challenging area of
wireless sensor networks is rapidly coming of age. Recent advances have made it possible …

This is an original and comprehensive monograph on the increasingly important field of
Multistatic Radar Systems. The material covered includes target detection, coordinate and …

Currently there exist two commonly used measurement fusion methods for Kalman-filter-
based multisensor data fusion. The first (Method I) simply merges the multisensor data …

This paper deals with data (or information) fusion for the purpose of estimation. Three
estimation fusion architectures are considered: centralized, distributed, and hybrid. A unified …