摘要
针对雷达抗应答式欺骗干扰的信号处理,提出基于统计方法和神经网络方法两种特征提取方法.其中,统计方法考虑了均值与方差特征相结合提取特征,神经网络方法用Kohonen网络进行特征提取.仿真结果表明,两种方法都具有较好的抗应答式欺骗干扰性能,而神经网络方法性能更为优越.
Aimed at the signal processing method of radar against answering deception-jamming, this paper advances two new methods of feature extraction. The statistical method defines a feature factor united the mean and variance feature, and the NN method extracts the feature with Kohonen neural network. Simulation results show that these two methods perform well against deceptive-jamming, and the NN method is better in training and detecting outcome.
出处
《空军雷达学院学报》
2004年第2期4-7,共4页
Journal of Air Force Radar Academy
关键词
应答式欺骗干扰
特征提取
神经网络
特征因子
answering-deception-jamming
feature extraction
neural network NN)
feature factor (
