Radial motion compensation based on adaptive profile estimation
Radial motion compensation based on adaptive profile estimation
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DOI：
10.1117/12.216955
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发表时间：
1995-08
影响因子：
7.8
通讯作者：
B. Flores;A. Martinez;C. Chen
中科院分区：
文献类型：
--
作者：
B. Flores;A. Martinez;C. Chen
我们描述了步进频率高分辨率雷达的三种不同处理方法，可以估计沿着视线的目标运动参数。精确的运动参数的知识是必要的，以产生一个聚焦的距离多普勒图像的目标。为此目的所采用的方法是基于逆离散傅里叶变换（IDFT），修改的啁啾z变换，和Prony的方法。这些方法产生的估计值相互比较，以及目标的实际参数。作为标准过程的IDFT方法需要零填充以产生实际运动参数的准确估计，并且往往是计算密集型的。改进的线性调频z变换方法可以在宽信噪比范围内获得高计算效率的精确估计。Prony的方法被证明是一个更强大的方法，更高的信噪比。考虑到这些结果，MCZT自适应算法的运动补偿制定，保证了良好的聚焦图像。
We describe three different processing approaches for stepped-frequency high-resolution radar that allow for the estimation of target motion parameters along the line of sight. Accurate knowledge of the motion parameters is necessary to generate a focused range-doppler image of the target. The approached adopted for this purpose are based upon the inverse discrete Fourier transform (IDFT), the modified chirp z-transform, and Prony's method. Estimates produced by these approaches are compared to each other as well as to the target's actual parameters. The IDFT approach, which is the standard procedure, requires zero padding to yield accurate estimates of the actual motion parameters and tends to be computationally intensive. The modified chirp z-transform approach yields accurate estimates with high computational efficiency for a wide SNR range. Prony's method proves to be a more robust approach for higher SNR. Considering these results, an MCZT adaptive algorithm for motion compensation is formulated which guarantees a well focused image.