基于FS的距离单元徙动校正算法对提高FMCW-SAR实时成像质量的研究

项目名称： 基于FS的距离单元徙动校正算法对提高FMCW-SAR实时成像质量的研究

项目编号： No.41301397

项目类型： 青年科学基金项目

立项/批准年度： 2014

项目学科： 天文学、地球科学

项目作者： 何密

作者单位： 中国人民解放军第三军医大学

项目金额： 22万元

中文摘要： 高质量的小型化调频连续波（FMCW）合成孔径雷达（SAR）实时成像技术在实现重灾区和战场大面积伤员探测尤其是被掩埋的生命等方面具有广阔的应用前景。但由于脉冲SAR中经典的频率尺度变换（FS）算法已难以有效地校正FMCW-SAR的距离单元徙动（RCM），发展新的高质量实时成像算法已成为制约FMCW-SAR实用化的关键技术之一。本项目拟首先建立完善的FMCW-SAR模型，在经典的FS算法的基础上，通过在距离-多普勒域内引入相位因子来校正天线的连续运动所带来的RCM；提出基于多速率信号处理的RCM校正算法，克服低采样频率导致的距离向频谱混叠；提出扫频非线性的补偿算法，以完成RCM校正与斜视角情况下扫频非线性的校正并消除距离向的频谱混叠。本课题的研究成果有望提高FMCW-SAR实时成像的质量，为该技术尽快应用于灾区救援和战场救护奠定理论基础。

中文关键词： 合成孔径雷达；调频连续波；几何校正；遥感成像；生命探测

英文摘要： The high-quality real-time imaging technique of the miniaturization frequency modulated continuous wave (FMCW) synthetic aperture radar(SAR) has a broad application prospect in the aspects like detecting the wound, especially the buried lives, over large areas in the disaster area and the battlefield. However, the classical frequency scaling (FS) algorithm adopted in the pulsed SAR cannot efficiently correct the range cell migration（RCM）. Studying a novel high-quality real-time imaging algorithm becomes one of the key techniques restricting the utility of the FMCW-SAR. This program will establish a preferable signal mode of the FMCW-SAR. On the basis of the classic FS algorithm, the RCM due to the continuous antenna motion will be corrected by introducing phase factors in the range-Doppler domain. The RCM correction method based on the multi-rate signal processing will be proposed to solve the range frequency aliasing. The nonlinearity compensation algorithm will be proposed to eliminate the RCM and the nonlinearity in a squint angle. Research productions of this program will probably improve the real-time imaging quality of the FMCW-SAR, which lays a theoretical foundation for the application of such technique to the succor in the disaster area and the battlefield as soon as possible.

英文关键词： The high-quality real-time imaging technique of th；frequency modulated continuous wave；geometric correction；remote sensing imaging；life detecting