Beyond the Kalman Filter: Particle Filters for Tracking Applications - Ristic, Branko
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Filters are the basic building block of radar defense systems that track targets, provide surveillance, avoid collisions, and guide flight. The most common type of filter is the Kalman filter. For most applications the Kalman filter is reliable and efficient, but it does have limitations. This book looks at cutting-edge particle filters that can track under conditions where Kalman filters fail. It introduces the latest advances in particle filter theory, discusses their relevance to radar tracking, and examines the defense applications of particle filters. With this hands-on guide, radar…mehr

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Produktbeschreibung
Filters are the basic building block of radar defense systems that track targets, provide surveillance, avoid collisions, and guide flight. The most common type of filter is the Kalman filter. For most applications the Kalman filter is reliable and efficient, but it does have limitations. This book looks at cutting-edge particle filters that can track under conditions where Kalman filters fail. It introduces the latest advances in particle filter theory, discusses their relevance to radar tracking, and examines the defense applications of particle filters. With this hands-on guide, radar engineers can develop more accurate and reliable filter designs and more precisely predict these designs' performance.
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Autorenporträt
Branko Ristic is a senior research scientist in the Tracking and Sensor Fusion Group at the ISR Division of DSTO, Edinburgh, Australia. In 2002 he was awarded the Defence Science Fellowship by the Information Sciences Laboratory of DSTO. He earned his Ph.D. at the Signal Processing Research Centre of Queensland University of Technology, Australia. Sanjeev Arulampalam is a senior research scientist in the Submarine Combat Systems Group, Maritime Operations Division of DSTO, Edinburgh, Australia. In 2000 he was awarded the Anglo-Australian postdoctoral fellowship by the Royal Academy of Engineering, London. He earned his Ph.D. in electrical and electronics engineering at the University of Melbourne, Australia. Neil Gordon is a senior research scientist in the Tracking and Sensor Fusion Group at the ISR Division of DSTO, Edinburgh, Australia. Dr Gordon earned his Ph.D. in statistics at the Imperial College, University of London.