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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。
In radar target recognition applications, the 3D shape of the target shape provides the most direct and useful information to identify the target. Ramp response technology is one of the most widely used low frequency radar target imaging technology, and the final target image quality depends on the performance of the image reconstruction algorithm. Therefore, on the basis of introducing two typical 3D image reconstruction algorithms based on Ramp response technology in detail, the two algorithms are simulated and compared under different conditions and an algorithm for calculating and reconstructing the image contour function is proposed. The algorithm is used to calculate the error between the image and the target. The performance of the two algorithms is analyzed and compared, and the useful conclusions are drawn.