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作 者:田正秋 何思远[1,2] 蔡志灏 王筱祎 TIAN Zhengqiu;HE Siyuan;CAI Zhihao;WANG Xiaoyi(Electronic Information School,Wuhan University,Wuhan 430072,China;The Hanjiang National Laboratory,Wuhan 430073,China)
机构地区:[1]武汉大学电子信息学院,武汉430072 [2]汉江国家实验室,武汉430073
出 处:《电波科学学报》2025年第1期12-20,共9页Chinese Journal of Radio Science
基 金:国家自然科学基金(42188101)。
摘 要:基于典型地面背景电磁散射特性的研究,提出了介质粗糙地面上目标散射中心正向建模的方法。首先,通过蒙特卡罗方法随机生成粗糙面,利用高斯谱模拟三维粗糙地面模型,采用介电常数对不同地面材料进行表征;然后,采用正向途径并结合射线追踪、分集技术将复杂的地面环境与MSTAR(Moving and Stationary Target Acquisition and Recognition)库中的BMP2步兵战车目标模型的整体散射离散为多个散射源的集合,再结合粗糙地面的不同介电常数进行分析,利用高频近似方法进行求解;最后,通过重构的合成孔径雷达(synthetic aperture radar,SAR)图像与MSTAR库实测数据集对比进行验证。结果表明,本文提出的介质粗糙地面上目标散射中心正向建模方法能够提高与实测图像数据的相似度,验证了其有效性。This research presents a forward modeling approach for target scattering centers on a dielectric rough surface,which is directed to the investigation of the electromagnetic scattering for typical ground backgrounds.Initially,a rough surface is randomly generated by the Monte Carlo method,and a three-dimensional rough ground model is simulated using a Gaussian spectrum with different ground materials characterized by different permittivity.Subsequently,a forward approach is employed,and ray tracing and diversity techniques are used to decompose the scattering into a number of sources,which including the complex ground environment and BMP2 infantry fighting vehicle target from the Moving and Stationary Target Acquisition and Recognition(MSTAR)dataset.Then,the solution is analyzed by considering different permittivity of rough surfaces and solving the problem using the highfrequency approximation.Finally,the reconstructed synthetic aperture radar(SAR)images and the MSTAR dataset are compared,the result shows that the proposed method improves image similarity,and confirming the efficiency of the proposed forward modeling method for target scattering centers on a dielectric rough surface.
关 键 词:散射中心正向建模 粗糙地面 介质涂覆 耦合散射中心 MSTAR
分 类 号:TN957.52[电子电信—信号与信息处理]
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