基于频谱分析的雷达信号分选新方法

相参性是现代雷达的普遍性质，利用雷达脉冲之间的相参性，提取相参特征参数，并运用于雷达信号分选，对降低当前信号分选中存在的“漏批”率具有重要的意义。本文在基于频谱分析的相参特征模型基础上，研究了基于最小二乘模板匹配误差的相参特征，并提出了具体应用中的改进措施。仿真结果表明，利用频谱主峰图像最小二乘模板匹配误差这一相参特征参数进行信号分选，可以有效地减少“漏批”率。

A Novel Sorting Method of Radar Signal based on Spectrum Analysis

coherent is an important characteristics of the modern radar, by use of the coherent specific character between the Radar pulses, abstract coherent specific character parameter, and apply the parameter to the Radar signal sorting, is extremely valuable to reduce the probability of leak-alarm. this paper extract the spectrum peak image of the reconstruct signal by the way of spectrum, and introduce a coherent characteristic parameter based on Least-Square Template Matching Error(LSTME). theoretical analysis and simulation both indicate that the spectrum peak image of the reconstruct signal is one of themanifestations of coherent characteristics, use the coherent characteristic parameter to signal Sorting can reduce the probability of lead-alarm.