Scattering Signatures Analysis Using Genetic Algorithm

机译：遗传算法散射签名分析

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In this paper, a real-valued Genetic Algorithms is proposed as a means of ext- racting one-dimension scattering centers. In terms of the extraction of scattering signatures from noise-corrupted data, Genetic Algorithm has been compared with the state space approach, and the results show that this method has higher-noise immunity.

机译：在本文中，提出了一种实值的遗传算法作为突出一维散射中心的一种方法。就噪声损坏数据的散射签名的提取而言，遗传算法与状态空间方法进行了比较，结果表明该方法具有更高的噪声免疫力。

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《Asia-Pacific conference on environmental electromagnetics》|2003年||共4页
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Zheng Jun; Su Donglin;
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中图分类电磁场理论的应用;
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Scattering Signatures Analysis Using Genetic Algorithm

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