基于EMI与ANN技术的水下目标探测系统

Underwater target detection based on EMI and ANN

目前水下目标的探测方式主要是激光探测和声波探测。本文提出一种基于压电阻抗(EMI)与人工神经网络(ANN)技术的水下目标探测系统,设计了一种具有探测水下特定频率信号目标能力的潜航器,分析了该潜航器的主要结构、运动方式、控制方式;使用BP神经网络建立定位探测系统,结合三球定位原理,实现了对目标信号空间位置更精确的定位。

The major way to detect the underwater target are acoustic detection and laser detection presently. The underwater detection system based on piezoelectric impedance and artificial neural network was given in this paper, the autonomous underwater vehicle which can detect the special frequency signal was designed, the major structure, motion mode, control mode were analyzed. The detection system based on BP neural network was built, combine the three ball positioning principle, the signal spatial position is more accurate.