超分辨距离-多普勒成像的动态优化方法

 提出了超分辨距离多普勒成像的动态优化方法,基本思想是利用正则化图像重建方法及动态优化算法求出雷达目标反射率的最小二乘估计。还利用FFT大大提高了动态优化算法的计算效率。用B-52飞机缩比金属模型微波暗室转台实验数据和Boeing-727飞机外场实测数据进行成像的初步结果表明,采用超分辨成像方法可以获得更高的图像分辨力;或用较小的信号带宽和成像总转角,可以获得相同质量的图像。进一步研究发现,如果能充分利用成像区域中更多的先验信息,动态优化方法可望能提供更好的分辨性能。

A DYNAMIC OPTIMIZATION APPROACH FOR SUPERRESOLUTION RANGE-DOPPLER IMAGING

A dynamic optimization approach for superresolution range-doppler imaging is proposed in this paper. The basic idea of this approach is that it uses the regularized image reconstruction approach and the dynamic optimization algorithm to find out the least squares estimate of reflectivity of the radar target. The computing efficiency of the dynamic optimization algorithm ss greatly improved by using the FFT. The live data of a metalized scale model B-52 aircraft mounted on a rotating platform in a microwave chamber and a flying Boeing-727 air-craft were processed by the use of the superresolution imaging approach. Comparisons of imaging results with FFT-RD approach are given and show that, by the use of the superresolution approach, either higher resolution images for the same effective bandwidth of transmitted signals and total rotation angle in imaging or equal quality images from small bandwidth and total rotation angle may be obtained. We have found that the dynamic optimization approach is hopeful to be able to provide even better resolution performance if more a priori information about the image region is utilized sufficiently.