| 基于BP神经网络的SAR干扰效果评估 |
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| 引用本文： | 刘鹏军,马孝尊,武忠国,王岩,刘志浩.基于BP神经网络的SAR干扰效果评估[J].舰船电子工程,2009,29(2):88-90. |
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| 作者姓名： | 刘鹏军 马孝尊 武忠国 王岩 刘志浩 |
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| 作者单位： | 中国人民解放军63892部队,洛阳,471000 |
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| 摘 要： | 将BP神经网络引入SAR干扰效果评估过程，根据干扰效果评定诸因素构造合适的指标作为网络输入，网络输出为干扰效果所对应的等级划分，然后利用训练样本对网络进行学习和训练。仿真结果表明，这种方法是可行的，减少了评估过程中人为因素的干扰，使得评估结果更为准确、可靠。
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| 关 键 词： | 合成孔径雷达BP神经网络 干扰效果评估 |
SAR Jamming Effect Evaluation Based on BP Neural Network |
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| Liu Pengjun,Ma Xiaozun,Wu Zhongguo,Wang Yan,Liu Zhihao.SAR Jamming Effect Evaluation Based on BP Neural Network[J].Ship Electronic Engineering,2009,29(2):88-90. |
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| Authors: | Liu Pengjun Ma Xiaozun Wu Zhongguo Wang Yan Liu Zhihao |
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| Institution: | No.63892 Troops of PLA;Luoyang 471000 |
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| Abstract: | The article applies BP neural network to evaluating the SAR jamming effect.First,the jamming effectiveness factors are used to form the inputs of the BP neural network and the grade of the jamming effect is used as the outputs.Then some typically experimental samples to training the BP neural network.The simulation result shows that this way is feasible.It can reduce the effect of the man-made factors and makes the evaluation result more reliably. |
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| Keywords: | synthetic aperture radar BP neural network jamming effect evaluation |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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