Exploiting low frequency resonance modes and scattering features to classify a submarine
- This paper will outline how low frequency resonance within hollow steel structures can be clearly isolated within spectrograms and how this varies from natural specular reflectors.
- Using simulated data, this paper will look to demonstrate the feasibility of exploiting this phenomenon to accurately distinguish between man-made and natural objects within the active sonar returns.
- Using a simple machine learning model, this paper will demonstrate how this process may be automated to give a quick indication to a sonar operator whether the object seen is a man-made submarine.
