Array-based underwater acoustic signal recognition

Lin Chang, Tingting Lyu
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Abstract

Underwater environment is more complex than the air and underwater acoustic signals are often hidden in the noise. Therefor, the interest signal needs to be enhanced or selected before identifying. In this paper, the signal is first enhanced by the method of beamforming, and then the acoustic signal feature is extracted and sent to softmax for recognition. The effectiveness of the method is verified by experiments.
基于阵列的水声信号识别
水下环境比空气环境复杂,水声信号往往隐藏在噪声中。因此,在识别前需要对兴趣信号进行增强或选择。本文首先采用波束形成的方法对信号进行增强,然后提取声信号特征,并将其发送给softmax进行识别。通过实验验证了该方法的有效性。
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