基于Ramp响应技术的雷达目标3D图像重构

Radar target 3D image reconstruction based on ramp response technique

在雷达目标识别的应用中,目标形状的3D图像可提供识别目标的最直接和最有用的信息。Ramp响应技术是一种应用最为广泛的低频雷达目标成像技术,而最终的目标图像质量主要取决于图像重构算法的性能。因此,在详细介绍了两种典型的基于Ramp响应技术的3D图像重构算法的基础上,对两种算法在不同条件下进行了仿真比较,提出了一种计算重构图像轮廓函数的算法,并利用该算法计算图像与目标之间的误差,分析比较了两种算法的性能,得出了有益的结论。

Among the radar target identification field,3D images of the target＇s shape can give the most direct and useful information for identifying the target.A low frequency method,named as the Ramp response technique,is widely used for radar target imaging.Quality of the reconstructed image is mainly related to the performance of the image reconstruction algorithm.Therefore,two classical reconstruction algorithms,which are based on Ramp response technique,were introduced.Simulation and comparison between the two algorithms were made under different conditions.A new algorithm for calculating profile functions from a reconstructed image was proposed and performance evolution based on the errors of profile function was presented and considerable conclusions were drawn.