基于多流形表达的目标单次反射/绕射机理散射中心的全视角参数化建模方法
Journal: 空天科技 DOI: 10.12238/ast.v1i1.13701
Abstract
诸多雷达应用，如场景信号模拟、目标识别等，需要通过适当的稀疏表示来压缩和快速重构目标散射特性数据。散射中心模型是一种广泛被采用的目标散射特性模型，可实现目标散射特性数据的稀疏、降维表达。该研究首先针对具有单次反射/绕射机理的目标散射特性数据，基于高频渐近理论和射线理论揭示了全视角散射中心（Global SC, GSC）的多流形结构。然后引入多流形结构聚类和曲线/曲面拟合算法来构建目标GSC模型。为了验证提出的理论和算法，对球头锥目标进行了仿真实验。仿真结果表明，GSC模型可以大幅压缩全视角散射特性数据，同时确保重构精度。提出的多流形GSC表示模型及构建方法，可有效支撑半实物仿真系统有限内部存储下的快速信号模拟等应用。
Keywords
散射中心；全视角散射中心；散射中心角度关联；多流形；散射机理
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[24] JACKSON J A, RIGLING B D, MOSES R L. Canonical scattering feature models for 3D and bistatic SAR[J]. IEEE Transactions on Aerospace & Electronic Systems, 2010, 46(2): 525-541.
[25] Wang Y, Jiang Y, Wu Y. Spectral Clustering on Multiple Manifolds. IEEE Transactions on Neural Networks, 2011, 22(7): 1149-1161.
[26] LING H, CHOU R C, LEE S W. Shooting and bouncing rays: calculating the RCS of an arbitrarily shaped cavity[J]. IEEE Transactions Antennas & Propagation, 1989, 37(2): 194-205.
[27] BHALLA R, LING H. A fast algorithm for signature prediction and image formation using the shooting and bouncing ray technique[J]. IEEE Transactions Antennas & Propagation, 1995, 43(7): 727-731.
[28] TSAO J, STEINBERG B D. Reduction of Sidelobe and Speckle Artifacts in Microwave Imaging: The CLEAN Technique[J]. IEEE Transactions on Antennas & Propagation, 1988, 36(4): 543-556.
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