一种基于聚类分析的边带跟踪判决门限的确定

A threshold based on clustering analysis for judging in webbing tracking

通过对窄带测角系统跟踪双噪声调频干扰信号合成边带时测角数据的分析,建立了一种边带跟踪情况下干涉仪鉴相器测角数据分布的数学模型。在用绝对误差和最小聚类算法提取角信息的基础上,推导出了一种基于聚类分析的绝对误差和门限的计算方法。理论分析和计算机仿真均证实了其用于边带跟踪判决门限的合理性与可行性。

The characteristic of angle measurement data under the phase-interferometer system in the case of webbing tracking of dual noise FM jamming is analyzed,and then a mathematical model is established to describe the distribution of the data, Based on clustering analysis,a math formula for computing the threshold of sum of absolute differences is deduced and presented, whose rationality and feasibility for judging in webbing tracking have also been testified both in theory and computer simulation.