基于神经网络的雷达抗应答式欺骗干扰方法

A Method of Radar Anti-deception-jamming Based on Neural Network

针对应答式欺骗干扰,定义了特征因子,并用所定义的特征因子训练神经网络分类器,建立抗欺骗干扰模型进行目标检测.同时对三种神经网络作为分类器进行了研究.仿真结果表明,所提出的特征因子及其选用RBF神经网络模型具有较好的抗欺骗干扰性能.

Aiming at answering deception-jamming, this paper defines a feature factor to train the neural network classifier, sets up an anti-deception-jamming model for object detection, and studies three sorts of neural network as classifiers as well. Simulation results show that the defined feature factor and the chosen RBF neural network have a good anti-deception-jamming performance.