Exploratory data analysis for GMTI radar

Kaeye Dästner, Bastian von Hassler zu Roseneckh-Kohler, Elke Schmid, Felix Opitz · 2017

GMTI radars operate in high altitudes on airborne platforms and observe wide areas on the ground. Thus thousands of moving objects are detected by their Doppler and all measurements are encoded and transmitted to ground stations. Usually, this ends up in a big data or at least mass data problem, especially when results are collected over a long period of time for analysis. So exploratory data analysis suited for GMTI radars has to provide methods and tools that can handle that data automatically with user defined constraints. These constraints are normally limitations in location and times but can also include additional filtering methods which depend on the operators' interest. However, this approach needs some prerequisites for data storage and replay so that the data can be processed efficiently. This paper gives an overview of the information chain from GMTI data to data analysis.

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