基于LabVIEW的深水网箱鱼群监测系统的信号处理

深水网箱鱼群活动状态的实时监测是开展深水网箱渔业资源可持续发展中急需解决的关键技术。文中介绍了深水网箱鱼群监测系统中基于LabVIEW的数据信号处理方法。该方法采用软件编程技术取代传统的硬件电路设计,实现了深水网箱鱼群监测系统的时间增益补偿、信号相关处理、图像处理和鱼群量估计等功能,海上现场实验证明系统具有较高的抗噪声和混响干扰能力,鱼群回波图像显示简洁、海上操作方便,采用鱼群回波能量积分方法能较好地估计鱼群量大小。

Signal Processing for Fish Monitoring System in Deep Water Net-cage Based on LabVIEW

Real-time monitoring fish activity in offshore net cages is the key technique in fishery resources sustainable development. Several digital signal processing methods for fish monitoring system in deep water net-cage based on LabVIEW are introduced. Which use programming technique to replace traditional electronic circuit in a certain extent to realize functions of time gain compensation, correlation signal processing, image processing and fish amount estimation. The field experimental results show that the system has good performances in anti-noise and reverberation. The echo image is clear and the operation is easy. The estimation of fish abundance using the echo integration method has proved effective.