Signal processing for fish monitoring system of net-cage in deep water based on LabVIEW

In this paper, several digital signal processing methods for fish monitoring system of net-cage in deep water based on LabVIEW are introduced. By using software programming techniques to replace the traditional hardware circuit design, we can improve the performance of the monitoring system, such as time gain compensation, correlation signal processing, image processing, and fish stocks estimation. The field experimental results show that these signal processing methods have good performances in anti-noise and reverberation interferences. The energy integral method of echo for estimating fish stocks has a high accuracy. The operation system is compact and expedient.