| 基于线性与非线性模型的海杂波预测 |
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| 引用本文： | 苏晓宏,索继东,柳晓鸣,王英春.基于线性与非线性模型的海杂波预测[J].大连海事大学学报(自然科学版),2010(4). |
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| 作者姓名： | 苏晓宏 索继东 柳晓鸣 王英春 |
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| 作者单位： | 大连海事大学信息科学技术学院; |
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| 摘 要： | 为对海杂波进行准确预测,根据海杂波具有的非线性不确定性,应用线性和非线性预测理论建立预测模型.针对logistic混沌映射信号和IPIX实际海杂波数据背景下的弱目标,分别采取基于自回归(AR)的线性模型、基于径向基神经网络(RBF)和Volterra级数滤波器的非线性模型进行预测.实验结果表明:非线性预测模型更适合于混沌背景下,因其目标和杂波的预测误差相差较大,可采取非线性预测并设置门限的方法进行目标检测;对于IPIX雷达数据,其混沌特性较logistic弱,目标和杂波的预测结果相差不大,可采用似然比检测方法.
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| 关 键 词： | 海杂波 线性预测 非线性预测 径向基神经网络 Volterra级数滤波器 |
Sea clutter prediction based on linear and non-linear models |
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| SU Xiaohong,SUO Jidong,LIU Xiaoming,WANG Yingchun.Sea clutter prediction based on linear and non-linear models[J].Journal of Dalian Maritime University,2010(4). |
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| Authors: | SU Xiaohong SUO Jidong LIU Xiaoming WANG Yingchun |
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| Institution: | SU Xiaohong,SUO Jidong,LIU Xiaoming,WANG Yingchun (Information Science , Technology College,Dalian Maritime University,Dalian 116026,China) |
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| Abstract: | Linear and nonlinear prediction theories were used to establish prediction models based on the nonlinear uncertainty characteristics of sea clutters so as to predict them accurately.Autoregressive(AR) and non-linear model based on radial basis function(RBF) and Volterra series filter(VSF) were adopted to predict the simulated and real sea clutter data by using logistic chaotic signal and the real sea clutter data collected by IPIX radar.Results show that nonlinear prediction method is more suitable for the ... |
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| Keywords: | sea clutter linear prediction nonlinear prediction radial basis function(RBF) volterra series filter |
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