摘要
传统的雷达高分辨率ISAR图像分析都是基于图像幅度或强度信息,丢弃了相位信息,从而使实际雷达分辨能力达不到理论分辨水平。复图像技术综合应用了图像幅度/相位信息,实现了雷达的理论分辨能力,并同时实现了精确的散射体位置测量,而后者对于目标识别有着更重要的意义。文中研究了复图像技术分析目标上理想点散射体的方法。仿真结果表明复图像技术具备了上述优势。
Conventional analysis of ISAR image is based on image intensity or amplitude information and disregards its phase information. This will result in theoretical resolution can＇t been obtained. Complex image analysis （CIA） is based on amplitude/phase model. Not only the theoretical resolution is realized, but precise location measurement of point scatters is achieved. Principle of analysis of ideal point scatters is given in this paper. Simulation results show that CIA improves radar resolution significandy than conventional method and precise location measurement is achieved.
出处
《现代雷达》
CSCD
北大核心
2006年第9期51-55,65,共6页
Modern Radar
关键词
复图像分析
两散射体算法
图像域
变换域
距离门切片
complex image analysis
two-scatter algorithm （TSA）
image domain
transform domain
range-gate cut
