Miroslav Hekrdla
Machine Learning Based Radar Signal Classification in Passive Surveillance Systems
On 2019-03-14 15:00 at G205
Electronic Support systems obtain valuable information about 
an intercepted radar emitter through the analysis of its radio signal. 
The pulse parameters which are significant for pulsed radar recognition 
are analyzed such as Pulse Repetition Intervals (PRIs) which is the 
signal of Time Of Arrival (TOA) differences. PRI signal is intentionally 
agile and undergoes a complex distortion which makes its analysis a 
non-trivial task. The seminar will briefly introduce the general task of 
electronic support systems and it will later focus on the analysis of 
PRI signals considering a potential application of machine learning in the 
automatic classification process.
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