BP神经网络在雷达干扰效果评估中的应用

雷达干扰效果是衡量雷达干扰措施是否有效和雷达干扰设备性能优劣的重要指标，如何准确、客观、快捷地评估雷达干扰效果，对雷达干扰双方均具有重大的现实意义。文中主要研究一种基于人工神经网络的雷达干扰效果评估方法，这种方法利用以往多次试验的结果，通过学习拟合出干扰效果与诸因素的映射关系，建立评估模型，用以对干扰效果作出评估。文章在最后进行了举例说明，实验证明了这种方法简便、易行和准确率高。

Radar Jamming Efficiency Evaluation Based on BP Neural Network

Radar jamming effect evaluation is to measure whether the jamming method is valid and the equipment is good. How to evaluate the radar jamming effect is of important significance. This paper makes research on radar jamming efficiency based on BP neural network and gives examples. Through training, the mapping relations between jamming effects and factors are fitted. Then, the model of evaluation is structured, through which jamming effects can he estimated. Experiments show that this method is easy, operable, and accurate.