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基于神经网络的海杂波模型 被引量:15

MODEL FOR SEA CLUTTER BASED ON NEURAL NETWORK
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摘要 采用相空间重构方法构造海杂波内在动力学模型 ,并运用神经网络提取模型参数 ,通过获得的模型参数对海杂波进行预测和补偿 ,实现海杂波抑制的目的 .对雷达采集的实际海杂波数据的实验结果表明 。 The dynamic model of sea clutter based on phase space reconstruction was presented. The model parameters obtained by neural network were employed to cancel sea clutter in radar echo by prediction. Real clutter data collected. by radar were used to test the model. The result illustrates good performance in sea clutter cancellation.
出处 《红外与毫米波学报》 SCIE EI CAS CSCD 北大核心 2004年第1期55-58,共4页 Journal of Infrared and Millimeter Waves
基金 教育部科学技术研究重点项目 ( 0 3 15 4) 国家自然科学基金资助项目 ( 69982 0 0 8) 国家教委优秀年轻教师基金资助项目 ( 2 0 0 0 )
关键词 神经网络 海杂波模型 相空间重构法 模型参数 雷达采集 杂波抑制 海防预警雷达 neural network sea clutter prediction noise reduction
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参考文献9

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