Underwater surface target prediction through sonar

Sonar signals recognition is one of the important detecting techniques to detect the objects under the sea. In military, sonar signals are used in lieu of visuals to navigate underwater and/or locate enemy submarines in proximity. In particular, classification algorithm in data mining has been applied in sonar signal recognition for recognizing the type of surfaces. This paper presents a machine learning technique to detect the object very fast with high accuracy. Simulation experiments are conducted and compared with the existing works.