ANN在引信信号处理中的应用

现代引信又称为目标探测与识别系统 ,现代战争对引信的要求 ,迫使其采用各种新技术 ,以提高探测目标的精度和信号处理水平 ,而人工神经元网络是一种分布式存储方法 ,其信息处理速度比传统的方法要快得多 ,并且具有很强的自学习功能 ,以及鲁棒性和容错性 .因此 ,人工神经网络 (ANN)技术应用在引信信号处理中具有非常广阔的前景 ,本文参考有关文献论述了人工神经网络 (ANN)技术在引信信号处理中的应用 ,重点说明了 ANN在消除噪声和抗有源干扰方面应用的 ,指明了应用于引信技术时应注意的问题及应用前景 .

THE APPLICATION OF ANN IN FUZE SIGNAL PROCESSING

Fuze is also called object detecting and identifying system, the demand of modern war makes fuze use advanced technology to modify precision of object detecting and the level of signal processing. And the artificial neural network(ANN) is a parallel processing method, its fast processing speed and self learning ability is helpful to fuze signal processing. This paper dissertates ANN technology's application in fuze signal detection, especially in eliminating noise and interference of fuze signals, points out the existing problems and application foreground in fuze signal processing.