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在步进频体制雷达的高分辨距离像中,当存在过采样冗余时,必须通过目标抽取算法才能得到完备的一维高分辨距离像。而经典的目标抽取算法在如何选择距离像抽取起点这一关键问题上却都没有给出具体的选择准则,本文在分析经典抽取算法的原理以及其优缺点基础上,提出一种基于全局峰值搜索逆向门限选大的方法,在二维的IFFT高分辨距离像矩阵中,先找出峰值的位置,再根据每列IFFT距离像中的新信息高分辨点数,逆向推算出距离像抽取的起点,然后进行经典的同距离门限选大,仿真结果验证了该方法的可行性。
In the high-resolution range image of step-frequency radar, when there is over-sampling redundancy, we must get a complete one-dimensional high resolution range image through the target extraction algorithm. However, the classic target extraction algorithm does not give a specific selection criterion on how to choose the starting point of distance as the starting point. Based on the analysis of the principle of classical extraction algorithm and its advantages and disadvantages, this paper proposes a new algorithm based on global peak search In the two-dimensional IFFT high-resolution image matrix, the position of the peak is found out first, and then the starting point of the distance image extraction is inversely estimated according to the high-resolution points of new information in each IFFT distance image, Then, we choose the same distance from the classic threshold, the simulation results verify the feasibility of the method.