一种基于灰关联算法的雷达辐射源分选方法

摘要

In view of the problems existing in the sorting technology based on feature parameters, a sorting algorithm based on radar signal waveform matching is proposed. The method of grey correlation analysis is used to measure the degree of the proximity between the waveforms accord-ing to the similarity or dissimilarity between the shapes of the waveforms. Through the analysis of the defects of the existing grey correlation algorithm, the waveform starting point zero like adja-cent sampling points are used to calculate the grey correlation between signals corresponding to the area, as an index of characteristic waveform to complete radiation signal sorting. Simulation results are presented to illustrate the feasibility and effectiveness of the method. The sorting ac-curacy of radiation source signal is promoted without strong dependence on a priori knowledge, while a certain anti-noise performance is verified.%针对基于参数特征分选方法存在的问题，提出一种基于雷达信号波形匹配的分选算法，通过提取波形的相似性特征，配对完成分选。采用灰关联分析的方法，根据波形间几何形状的相似程度来衡量波形间接近的程度。通过分析各灰关联算法的缺陷，研究利用波形的始点零化像中相邻采样点间对应的面积来计算信号间的灰关联度，作为波形特征的指标分选信号。仿真结果说明该方法的可行性、有效性，提高了信号分选的准确率，对先验知识的依赖性不强，具备一定的抗噪性能。