HMM-Based Underwater Target Classification with Synthesized Active Sonar Signals
This paper deals with underwater target classification using synthesized active sonar signals. Firstly, we synthesized active sonar returns from a 3D highlight model of underwater targets using the ray tracing algorithm. Then, we applied a multiaspect target classification scheme based on a hidden Markov model to classify them. For feature extraction from the synthesized sonar signals, a matching pursuit algorithm was used. The experimental results depending on the number of observations and signal-to-noise ratios are presented with our discussions.
- IEICE transactions on fundamentals of electronics, communications and computer sciences
IEICE transactions on fundamentals of electronics, communications and computer sciences 94(10), 2039-2042, 2011-10-01
The Institute of Electronics, Information and Communication Engineers