Real time target recognition using Labview

Abstract

Real time underwater target recognition is one of the specific areas where the latest research is being undertaken. Each underwater target has got an acoustic signature called feature. These features are used to identify an acoustic target. The main component of such a system is a classifier, whose performance depends mainly on the feature extraction method and classification algorithm being used here. Mel frequency Cepstral coefficients technique (MFCC) is used for feature extraction. Support Vector Machine (SVM) method is employed as the classification algorithm and the entire system is implemented using Labview. The system can identify underwater targets in run time.