基于BP神经网络的激光干扰CCD效果评估方法研究  

Research on the Evaluation Method for Effect of Laser Jamming CCD Based on BP Neural Network

作　　者：李忠华[1] 郭豹[1] 张兵[1] 连海根 

机构地区：[1]中国电子科技集团公司第二十七研究所 [2]西安电子科技大学

出　　处：《中国科技投资》2014年第A15期3-5,共3页China Venture Capital

摘　　要：针对激光干扰效果评估问题，提出了一种基于BP神经网络的评估方法。通过激光干扰成像CCD外场试验．获得了多组不同波长、激光能量、重复频率、衰减倍率、干扰距离等干扰激光的特征参量数据，并对试验结果进行了定性分析。利用其中12组数据用于BP神经网络的训练，BP网络训练完成后，根据BP神经网络的仿真情况又进行了另外3组试验，并将试验结果与仿真结果进行了对比分析。结果表明，该方法在激光干扰效能评估中具有较高的评估准确率。Aiming at the evaluation of laser jamming effectiveness, A method was put forward based on BP nerve network in this paper. Many sets of experiment data with different wavelength, laser energy, repeat frequency and molestation distance were obtained by the laser and a CCD detector, and the experiment result was analyzed qualitatively. Tweleve sets of those experiment data were used for BP nerve network training and another three sets of experiment were carried on according to the emulation result by BP nerve network after it has trained,. The new experiment result and emulation result were compared and analyzed. The experiment result show that the method has more accuracy in the evaluation of laser jamming effectiveness.

关 键 词：激光干扰 CCD BP 神经网络评估 

分 类 号：TN972[电子电信—信号与信息处理]