Multi-Stage Data Fusion in Security and Defence
NATO UNDERSEA RESEARCH CENTRE LA SPEZIA (ITALY)
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The fundamental problem of target tracking is to estimate the state of one or more objects that persist over time, based on noisy measurements contained in a vast quantity of mostly spurious measurement data. Target tracking is closely related to a number of basic problems in statistical modelling and information extraction from noisy data. Multi-stage processing provides a wealth of processing options that can be exploited to achieve robust and high-performance surveillance. This manuscript describes a number of multi-stage tracking architectures that the author has recently studied. Additionally, we study the target cardinality problem.
- Statistics and Probability
- Target Direction, Range and Position Finding