| 一种基于量子粒子群算法的SAR图像自聚焦方法 |
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| 引用本文： | 谭覃燕,宋耀良.一种基于量子粒子群算法的SAR图像自聚焦方法[J].系统仿真学报,2010,22(4). |
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| 作者姓名： | 谭覃燕 宋耀良 |
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| 作者单位： | 南京理工大学电子工程与光电技术学院,南京,210094 |
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| 基金项目： | 国防预研基金(9140A0120106BQ0216) |
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| 摘 要： | 为了准确补偿合成孔径雷达(SAR,Synthetic Aperture Radar)回波数据中的相位误差,研究了一种实用的SAR图像自聚焦算法。该方法以量子粒子群算法(QPSO,Quantum-behaved Particle Swarm Optimization)为基础,利用最小熵准则作为评判标准,通过多维搜索完成相位误差校正。同传统的自聚焦方法相比,该方法具有较好的鲁棒性和收敛速度快的特点,对低频和高频相位误差都有非常好的补偿能力。仿真结果验证了该方法的有效性。
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| 关 键 词： | 合成孔径雷达 雷达成像 自聚焦算法 QPSO算法 |
Novel Autofocus Method Based on Quantum-behaved Particle Swarm Optimization Algorithm for SAR Images |
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| TAN Qin-yan,SONG Yao-liang.Novel Autofocus Method Based on Quantum-behaved Particle Swarm Optimization Algorithm for SAR Images[J].Journal of System Simulation,2010,22(4). |
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| Authors: | TAN Qin-yan SONG Yao-liang |
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| Abstract: | A new method of phase error correction that utilized Quantum-behaved Particle Swarm Optimization (QPSO) algorithm was proposed for SAR autofocus application. This method makes use of image entropy (IE) as the focal quality indicator to search for optimum solution. This method has better robustness and more rapid convergence compared with traditional algorithms. It has good compensation ability to carry out the low-frequency and high-frequency phase errors. The simulation results show the validity of the pro... |
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| Keywords: | SAR Radar imaging autofocus algorithm QPSO algorithm |
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