The Application of the Artificial Neural Network in the Passive Battlefield Reconnaissance System
Qi Xiao · 2003
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 objectoriented programming language MS Visual C++.