DocumentCode :
1780828
Title :
T05 — Advanced radar detection and applications
fYear :
2014
fDate :
19-23 May 2014
Firstpage :
31
Lastpage :
32
Abstract :
Summary form only given. We cover an advanced Radar detection method called Space-Time Adaptive Processing (STAP). STAP is an advanced signal processing methodology for the Ground Moving Target Indication (GMTI) mode of airborne and space-borne surveillance radar systems. It is used to mitigate the radar´s motion-induced spread-Doppler clutter that interferes with the echo from moving ground targets, in addition to mitigating jamming interference. The tutorial will develop and clearly illustrate the GMTI problem from first principles, showing the need for STAP processing, including the STAP radar signal environment and its mathematical model. Traditional STAP processing solutions will be derived from a detection probabilistic perspective, the most pertinent metric for radar. The course covers state-of-the-art STAP techniques that address many of the limitations of traditional (ideal) STAP solutions, offering insight into future research trends. Additionally, we cover applications of advanced detection algorithms including super-resolution spectral estimation.
Keywords :
Doppler radar; airborne radar; interference suppression; radar clutter; radar detection; radar signal processing; search radar; space-time adaptive processing; spaceborne radar; GMTI mode; STAP solutions; advanced radar detection; airborne surveillance radar systems; detection probabilistic perspective; ground moving target indication; jamming interference; motion-induced spread-Doppler clutter; space-time adaptive processing; spaceborne surveillance radar systems; super-resolution spectral estimation; Adaptive systems; Educational institutions; Radar detection; Radar signal processing; Spaceborne radar;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Radar Conference, 2014 IEEE
Conference_Location :
Cincinnati, OH
Print_ISBN :
978-1-4799-2034-1
Type :
conf
DOI :
10.1109/RADAR.2014.6875531
Filename :
6875531
Link To Document :
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