With the rapid development of radar industry technology, the corresponding signal processing technology becomes more and more complex. For the radar with short-range detection function, its corresponding signal mostly presents the characteristics of wide bandwidth and multiresolution. In the traditional data processing process, a large number of signals will interfere with the signal, which makes the final signal processing difficult or even impossible. Based on this problem, this paper proposes a principal component linear prediction processing algorithm based on clutter suppression processing on the basis of traditional signal processing algorithm. According to the curve characteristics of the data returned by the target detected by the signal, through certain image signal measurement and transformation, the clutter can be effectively suppressed and the typical characteristics of the corresponding target curve can be enhanced. For the convergence problem of signal processing and the corresponding image chromatic aberration compensation problem, this paper will realize the chromatic aberration compensation of the corresponding target echo image based on the radial pointing transverse mode algorithm and enhance the convergence speed of the whole algorithm system. In the experimental part of this paper, the optimization algorithm proposed in this paper is compared with the traditional algorithm. The experimental results show that the algorithm proposed in this paper has obvious advantages in the convergence of signal processing and antijamming performance and has the promotion value.

中文翻译：

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步进频率多分辨率数字信号处理

随着雷达行业技术的飞速发展，相应的信号处理技术也变得越来越复杂。对于具有近距探测功能的雷达，其对应的信号大多呈现出宽带宽和多分辨率的特点。在传统的数据处理过程中，大量的信号会对信号产生干扰，使得最终的信号处理变得困难甚至不可能。基于此问题，本文在传统信号处理算法的基础上，提出了一种基于杂波抑制处理的主成分线性预测处理算法。根据信号检测到的目标返回数据的曲线特征，通过一定的图像信号测量和变换，可以有效抑制杂波，增强对应目标曲线的典型特征。针对信号处理的收敛问题和对应的图像色差补偿问题，本文将基于径向指向横模算法实现对应目标回波图像的色差补偿，提高整个算法系统的收敛速度。在本文的实验部分，将本文提出的优化算法与传统算法进行了比较。实验结果表明，本文提出的算法在信号处理收敛性和抗干扰性能方面具有明显优势，具有推广价值。