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METHOD AND A DEVICE FOR RECOGNIZING A PULSE REPETITION INTERVAL MODULATION FORM USING A SUPPORT VECTOR MACHINE, CAPABLE OF MAXIMIZING A MARGIN IN BETWEEN EACH MODULATION FORM USING A DECISION HYPERPLANE
METHOD AND A DEVICE FOR RECOGNIZING A PULSE REPETITION INTERVAL MODULATION FORM USING A SUPPORT VECTOR MACHINE, CAPABLE OF MAXIMIZING A MARGIN IN BETWEEN EACH MODULATION FORM USING A DECISION HYPERPLANE
PURPOSE: A method and a device for recognizing a pulse repetition interval (PRI) modulation form using a support vector machine (SVM) are provided to minimize an error rate in pattern recognition.;CONSTITUTION: A receiving part (10) senses a radar signal to process and deliver to a control part (20). The control part is classified into an SVM training module (22), an input data characteristic vector extracting module (24), a classification result value check module by SVM (26), and a PRI modulation form discrimination module (28) in order to implement a PRI modulation form recognizing method. The SVM training module extracts a feature vector to input to an SVM from training data and includes the extracted feature vector and a PRI modulation form value. The SVM training module classifies the input data to input to SVM and trains the SVM by modulation forms using the input data. The classification result value check module by SVM puts the feature vector into the SVM by modulation forms implemented by the SVM training module. The PRI modulation form discrimination module selects a SVM with the greatest value among discrimination result values, produces a result code according to the selected SVM number, and recognizes the PRI modulation form using the result code.;COPYRIGHT KIPO 2013;[Reference numerals] (10) Receiving unit; (20) Control unit; (22) SVM training module; (24) Input data characteristic vector extraction module; (26) SVM classification result check module; (28) PRI modulation type classifying module
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