Adaptive Recognition of Bioacoustic Signals in Smart Aquaculture Engineering Based on r-Sigmoid and Higher-Order Cumulants

Sensors

Caiyun Zhu¹  Zhongwei Xu¹  Yichen Yang¹  Tianyu Cao¹  Xiaoqun Zhao¹ 

[1] Department of Information and Communication Engineering, College of Electronic and Information Engineering, Tongji University, Jiading District, Shanghai 201804, China;

关键词: underwater acoustic signals;    SRC;    HOC;    recognition-sigmoid function;   

DOI  :  10.3390/s22062277

来源: DOAJ

【 摘 要 】

In recent years, interest in aquaculture acoustic signal has risen since the development of precision agriculture technology. Underwater acoustic signals are known to be noisy, especially as they are inevitably mixed with a large amount of environmental background noise, causing severe interference in the extraction of signal features and the revelation of internal laws. Furthermore, interference adds a considerable burden on the transmission, storage, and processing of data. A signal recognition curve (SRC) algorithm is proposed based on higher-order cumulants (HOC) and a recognition-sigmoid function for feature extraction of target signals. The signal data of interest can be accurately identified using the SRC. The analysis and verification of the algorithm are carried out in this study. The results show that when the SNR is greater than 7 dB, the SRC algorithm is effective, and the performance improvement is maximized when the SNR is 11 dB. Furthermore, the SRC algorithm has shown better flexibility and robustness in application.

【 授权许可】

Unknown