Mathematical Techniques in Multisensor Data Fusion

This invaluable reference offers the most comprehensive introduction available to the concepts of multisensor data fusion. It introduces key algorithms, provides advice on their utilization, and raises issues associated with their implementation. With a diverse set of mathematical and heuristic techniques for combining data from multiple sources, the book shows how to implement a data fusion system, describes the process for algorithm selection, functional architectures and requirements for ancillary software, and illustrates man-machine interface requirements an database issues.

David L. Hall is the associate dean for research at The Pennsylvania State University, School of Information Sciences and Technology. He is also the author of Lectures in Multisensor Data Fusion and Target Tracking (Artech House, 2001). He earned his Ph.D. in Astronomy at The Pennsylvania State University. He is an IEEE Fellow. Sonya A. H. McMullen is a Captain with the US Air Force. She earned an M.S. in aerospace engineering at Embry-Riddle Aeronautic University.