对比源反演算法对二维混合目标重建成像的应用 |
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引用本文: | 王学静,缪竟鸿,René Marklein.对比源反演算法对二维混合目标重建成像的应用[J].计算机应用,2012(4):1184-1187. |
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作者姓名: | 王学静 缪竟鸿 René Marklein |
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作者单位: | 天津工业大学电子与信息工程学院;卡塞尔大学电气工程与计算机系 |
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基金项目: | 国家自然科学基金资助项目(61001042);天津市自然科学基金资助项目(09JCYBJC15500) |
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摘 要: | 针对线性成像精确性有限的缺点,提出了在非线性算法—对比源反演算法中采用正则化和并行频率方重建在暗室内的金属和电介质柱体构成的混合目标。二维实测微波散射数据采用了多频率、多收发设置的测量方式。通过目标的位置、形状及对比度值得展示,验证了扩展后的对比源反演算法对复杂的二维混合目标重建成像的精确性。
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关 键 词: | 对比源反演算法 正则化 并行频率 多重信号分类算法 时间反演成像 |
Application of contrast source inversion algorithm to image restruction of 2-D hybrid targets |
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Affiliation: | WANG Xue-jing1,MIAO Jing-hong1,René Marklein2(1.School of Electronics and Information and Engineering,Tianjin Polytechnic University,Tianjin 300387,China; 2.Department of Electrical Engineering and Computer Science,University of Kassel,Kassel D-34121,Germany) |
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Abstract: | In view of the limited accuracy of imaging algorithm,the nonlinear Contrast Source Inversion(CSI) algorithm combined with regularization and Concurrent Frequency(CF) was proposed for reconstructing a hybrid target in an anechoic chamber.The experimental data were obtained using multi-frequency multi-bistatic measurements.The reconstructed position,shape and contrast value of the target were presented,verifying the accuracy of the extended CSI algorithm for reconstructing the complicated 2-D hybrid targets. |
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Keywords: | Contrast Source Inversion(CSI) algorithm regularization Concurrent Frequency(CF) Multiple Signal Classification(MUSIC) algorithm Time Reversal(TR) imaging |
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