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基于遗传算法的二维散射中心提取研究 被引量:2

2-D Scattering Center Extraction Technique Based on Genetic Algorithm
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摘要 提出了一种基于遗传算法的雷达目标二维散射中心提取方法,并给出了适用条件,它采用CLEAN方法,将每个散射中心的提取转化为一个非线性优化问题,并利用改进的遗传算法进行优化求解。仿真结果表明,相对于传统的FFT方法和2-D Esprit方法,文中提出的二维散射中心提取方法在准确性、鲁棒性和分辨力等方面具有优势。 A novel 2-D scattering center extraction method based on genetic algorithm and its applicability conditions are suggested in this paper, The CLEAN method is used in the method to transform 2-D scattering center extraction into non-linear optimization problem which is solved later using modified genetic algorithm. Experimental results show that the proposed extraction method has advantages in accuracy, robustness and range resolution, compared to the FFT and 2-D Esprit methods.
出处 《现代雷达》 CSCD 北大核心 2006年第11期64-68,共5页 Modern Radar
基金 国家自然基金资助项目(No.69901005)
关键词 二维散射中心 参数估计 遗传算法 2-D scattering center parameter estimation genetic algorithm
作者简介 吕玉增 男,1981年生,博士研究生。研究方向为自动目标识别、信息融合等领域. 曹敏 女,1979年生,博士研究生。研究方向为空间目标识别、信息融合等领域。
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参考文献20

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