| 基于神经网络的双基地雷达脉冲压缩方法 |
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| 引用本文： | 彭芳,左继章,吴军.基于神经网络的双基地雷达脉冲压缩方法[J].微计算机信息,2007,23(30):265-266,80. |
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| 作者姓名： | 彭芳 左继章 吴军 |
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| 作者单位： | 1. 空军工程大学工程学院,西安,710038
2. 空军第一试验训练基地,甘肃酒泉,710038 |
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| 摘 要： | 本文在二相码连续波（CW）双基地雷达的数字脉冲压缩原理的基础上，研究了径向基函数（RBF）网络在脉冲压缩中的应用，采用长度为15位的最佳二进制序列进行仿真，结果表明使用训练的径向基函数网络能大大提高输出信号的主旁瓣比，比相关处理法有更强的自相关性能（即最小峰值副瓣），从而获得更好的压缩效果。
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| 关 键 词： | 神经网络 二相编码CW双基地雷达 脉冲压缩 主旁瓣比 |
| 文章编号： | 1008-0570（2007）10-3-0265-02 |
| 修稿时间： | 2007-07-032007-09-05 |
A Method of Pulse Compression Based on Neural Network in Bistatic Radar |
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| PENG FANG,ZUO JIZHANG,WU JUN.A Method of Pulse Compression Based on Neural Network in Bistatic Radar[J].Control & Automation,2007,23(30):265-266,80. |
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| Authors: | PENG FANG ZUO JIZHANG WU JUN |
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| Abstract: | This paper deals with the application of radial basis function network for pulse compression in binary phase coded CW bistatic radar on the basis of digital pulse compression theory. Through adopting best binary sequences with 15 length, the simulate results show that the trained RBF network can greatly improve main lobe to side lobe ratio of output signature, that is, it has so peaky autocorrelation and as small side lobe amplitudes as possible that compression effect is acquired. |
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| Keywords: | neural network binary phase coded CW bistatic radar pulse compression main lobe to side lobe ratio |
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