| A Study on the Algorithm for Underwater Target Automatic Classification using the Passive Sonar |
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| 수동소나를 이용한 수중물체 자동판별기법 연구 |
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이성은, 최수복, 노도영 |
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국방과학연구소 |
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| Abstract |
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As first step of any acoustic defence system, a attacking target warning system needs to be extremely reliable. This means the system must ensure a high probability of target classification together with a very low false alarm rate. In this paper, a algorithms for underwater target automatic classification is available for use in the passive sonar will be presented. In first, we will describe the precise automatic extraction of frequency lines for the detection of acoustic signatures. Also, a neural network and fuzzy based algorithms for target classification will be described. Thus the performances of these algorithms are very good with a high probability of classification. |
| Key Words:
Passive Sonar, Frequency Line Tracking, Automatic Classification, Fuzzy Inference, Neural Network |
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