雷达状态监测数据处理方法

Data Processing Method of Radar Condition Monitoring

在雷达装备的质量评估工作中,如何对状态监测数据进行有效的处理对后续装备质量评估起着至关重要的作用。本文采用模糊聚类分析理论,提出模糊信息优化处理的方法,有效解决了采用有限的状态监测数据对雷达总体质量进行评估的问题。首先将这些监测到的状态信息通过模糊最佳分类法进行有效分类,提取出能够表征雷达装备质量的特征信息,并利用连续隐马尔可夫模型作为状态监测器,计算出雷达装备质量在未知状态下的KL距离,将不太明显的装备质量特征转化为变化明显的KL距离,并用其来评估雷达装备的质量,实验验证了该方法的有效性。

In the quality evaluation of radar equipment,how to deal with the status monitoring data effectively plays an important role in the quality evaluation of subsequent equipment.This paper adopts the fuzzy clustering analysis,proposes the fuzzy information optimization processing method and effectively solves the problem of using the limited state monitoring data to evaluate the overall quality of the radar.Firstly,the monitored state information is effectively classified by fuzzy optimization classification method,and the feature information which can characterize the radar equipment quality is extracted,and the continuous hidden Markov model is used as the state monitor to calculate the radar equipment quality in the unknown state.In this way,the less obvious equipment quality characteristics are transformed into the obvious KL distance,then the quality of the radar equipment will be evaluated.The experiment indicates the method is effective.