| 基于模糊神经网络的二相码旁瓣抑制 |
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| 引用本文： | 余贵水,赵亮,毛德广. 基于模糊神经网络的二相码旁瓣抑制[J]. 现代雷达, 2009, 31(12) |
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| 作者姓名： | 余贵水 赵亮 毛德广 |
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| 作者单位： | 海军工程大学电子工程学院,武汉,430033 |
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| 摘 要： | 研究了模糊神经网络在二相码旁瓣抑制中的应用,对网络的学习算法进行了改进,采用梯度下降算法优化规则前件参数,而用最小二乘算法优化规则后件参数.对13位巴克码进行的仿真结果表明,改进的算法具有极快的收敛速度,可获得60 dB以上的输出主副比,提高了雷达的探测性能.
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| 关 键 词： | 模糊神经网络 旁瓣抑制 混合学习算法 |
A Study on Binary-coded Sidelobe Suppression Based on Neural Fuzzy Network |
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| YU Gui-shui,ZHAO Liang,MAO De-guang. A Study on Binary-coded Sidelobe Suppression Based on Neural Fuzzy Network[J]. Modern Radar, 2009, 31(12) |
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| Authors: | YU Gui-shui ZHAO Liang MAO De-guang |
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| Abstract: | The application of fuzzy neural network (FNN) for sidelobe suppression in binary-coded radar is discussed in this paper. The learning algorithm is improved through gradient descent algorithm to optimise the parameters of the premise part of the fuzzy rule and adopting the least square algorithm to regulate the parameters of consequent part. Simulation results show that the im-proved algorithm has faster convergence speed, and over 60 dB mainlobe to sidelobe ratio is obtationed. As a result, the detection performance of radar is enhanced. |
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| Keywords: | neural fuzzy network sidelobe suppression hybrid learning algorithm |
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