Moving target classification in ground surveillance radar ATR system by using novel bicepstral-based information features

European Microwave Week 2011: "Wave to the Future", EuMW 2011, Conference Proceedings - 8th European Radar Conference, EuRAD 2011

Volumn , Issue , 2011, Pages 194-197

  Molchanov, Pavlo O ^a   Astola, Jaakko T ^a   Egiazarian, Karen O ^a   Totsky, Alexander V ^b  

^a TAMPERE UNIVERSITY OF TECHNOLOGY   (Finland)

^b NATIONAL AEROSPACE UNIVERSITY   (Ukraine)

Author keywords

[No Author keywords available]

Indexed keywords

ATR SYSTEM; BACK-SCATTERED RADAR; CLASSIFIER PERFORMANCE; CONTINUOUS MODE; GAUSSIAN MIXTURE MODEL; GROUND SURVEILLANCE; GROUND SURVEILLANCE DOPPLER RADAR; GROUND SURVEILLANCE RADAR; HOMODYNES; HUMAN RECOGNITION; INFORMATION FEATURE; MAXIMUM LIKELIHOOD RULES; MILLIMETER RANGE; MOVING TARGETS; NONSTATIONARY;

AUTOMATIC TARGET RECOGNITION; DOPPLER RADAR; FEATURE EXTRACTION; MAXIMUM LIKELIHOOD; MONITORING; SPACE SURVEILLANCE; SURVEILLANCE RADAR;

RADAR TARGET RECOGNITION;

EID: 84855454358     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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