Underwater Acoustic Recognition System for Detection of Low-altitude Moving Source
* Presenting author
Air targets detection underwater is an important part of marine safety management. For the difference of physical properties between water and air, there are many difficulties for air sound detection launched underwater. In this paper, we present a recognition system using both time and frequency domain characteristics for low-altitude moving source detection. In the detection phase, a short-to-long-term energy ratio (SLR) is first obtained by analyzing the coupling acoustic data. This initial SLR indicates the possibility of target appearing. For signals exceeding SLR threshold, the cepstral coefficients are extracted by a 4-Gammatone filter with cochlea membrane nature. The validity of the algorithm is proved by a test adopting BP network with both synthetic and real data. The results indicating that the joint detection algorithm can detect low-altitude moving targets such as helicopters, and has a good anti-noise performance.