Results 1 to 10 of about 4,800,869 (233)
The Tacotron-Based Signal Synthesis Method for Active Sonar [PDF]
The importance of active sonar is increasing due to the quieting of submarines and the increase in maritime traffic. However, the multipath propagation of sound waves and the low signal-to-noise ratio due to multiple clutter make it difficult to detect ...
Yunsu Kim +3 more
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Behavioural responses of fin whales to military mid-frequency active sonar [PDF]
The effect of active sonars on marine mammal behaviour is a topic of considerable interest and scientific investigation. Some whales, including the largest species (blue whales, Balaenoptera musculus), can be impacted by mid-frequency (1–10 kHz) military
Brandon L. Southall +11 more
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Bio-Inspired Covert Active Sonar Strategy [PDF]
The covertness of the active sonar is a very important issue and the sonar signal waveform design problem was studied to improve covertness of the system.
Jiajia Jiang +8 more
doaj +4 more sources
A Phase-Coded Sequence Design Method for Active Sonar [PDF]
Phase-coded sequences are widely studied as the transmitted signals of active sonars. Recently, several design methods have been developed to generate phased-coded sequences satisfying specific aperiodic or periodic autocorrelation sidelobe level metrics.
Chengyu Guan, Zemin Zhou, Xinwu Zeng
doaj +3 more sources
For decades, the soft-kill strategy which detects high-speed underwater targets with passive sonar and attract the targets using decoys has been used. However, recently, the paradigm to respond to the high-speed underwater targets is shifting to a hard ...
Jinuk Park +3 more
doaj +2 more sources
Unsupervised active sonar contact classification through anomaly detection
Target detection and sonar contact classification with active sonar systems are not trivial especially when operating in coastal and shallow water environments with multipath propagation, high reverberation and clutter. It is even more difficult when the
Pietro Stinco +2 more
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Study on Small Samples Active Sonar Target Recognition Based on Deep Learning
Underwater target classification methods based on deep learning suffer from obvious model overfitting and low recognition accuracy in the case of small samples and complex underwater environments.
Yule Chen, Hong Liang, Shuo Pang
doaj +2 more sources
Active Object Detection in Sonar Images [PDF]
Object detection in sonar images has always been a challenge due to the low resolution of sonar images and the strong noise existing in them. Although convolutional neural networks (CNNs) have been applied to detect objects in sonar images, successful ...
Longyu Jiang +4 more
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Controlled exposure experiments (CEEs) have demonstrated that naval pulsed active sonar (PAS) can induce costly behavioral responses in cetaceans similar to antipredator responses. New generation continuous active sonars (CAS) emit lower amplitude levels
Charlotte Curé +10 more
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The classification and recognition of underwater targets by an active sonar system remain challenging and complex. Traditional methods have limited classification performance in time and spatially varying ocean channels.
Qingcui Wang +3 more
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