人工神经网络在战场被动侦察系统中的应用

The Application of the Artificial Neural Network in the Passive Battlefield Reconnaissance System

对基于BP人工神经网络的战场被动侦察系统进行了研究,通过功率谱分析从噪声信号中提取目标的特征向量作为网络的有效输入,达到目标的自动识别.采用面向对象的编程语言MSVisualC++来实现,介绍了系统程序设计的关键技术及识别模块的实现.

In this paper, the authors discuss the passive battlefild reconnaissance system based on the artificial neural network, picking up the target's characteristic vectors obtained from the noise signal through analyzing power spectrum and using them as the effective input of the network, so as to implement the automatic identification of battlefield targets. The key technique of the system programming and the design of the identificaton module are introduced using the objectoriented programming language MS Visual C++.