Ground moving target classification by using DCT coefficients extracted from micro-Doppler radar signatures and artificial neuron network

2011 Microwaves, Radar and Remote Sensing Symposium, MRRS-2011 - Proceedings

Volumn , Issue , 2011, Pages 173-176

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

^a TAMPERE UNIVERSITY OF TECHNOLOGY   (Finland)

^b NATIONAL AEROSPACE UNIVERSITY   (Ukraine)

Author keywords

DCT coefficients; micro Doppler radar signature; multilayer perceptron; probability of target

Indexed keywords

ARTIFICIAL NEURON NETWORKS; CLASSIFICATION FEATURES; DCT COEFFICIENTS; DISCRETE COSINE TRANSFORM COEFFICIENTS; EXPERIMENTAL DATA; GROUND MOVING TARGETS; GROUND SURVEILLANCE DOPPLER RADAR; INFORMATION FEATURE; MICRO-DOPPLER; MULTILAYER PERCEPTRON; RADAR SIGNATURE; RADAR TARGET;

DISCRETE COSINE TRANSFORMS; DOPPLER EFFECT; DOPPLER RADAR; MULTILAYERS; NEURAL NETWORKS; RADAR SYSTEMS; RADIO WAVES; REMOTE SENSING;

RADAR MEASUREMENT;

EID: 80955167985     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/MRRS.2011.6053628     Document Type: Conference Paper

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