随着数字阵雷达(DAR)的数字TR 集成方式和光纤的广泛应用,阵面测试手段以数字信号的采集分析为主,测试参数多,可能故障点多,数据异常的分析手段相对缺乏。文中通过对DAR 阵面的监测光纤数据进行特征研究,分析数据包组成结构,对比原始的IQ 正常数据和故障数据的数值特征,定位数据异常的故障点,并通过实录数据验证故障源,结果表明故障定位快速精准,合理可行。

With the extensive application of digital TR integration mode and optical fiber in digital array radar(DAR), the test method of array mainly focus on the acquisition and analysis of digital signals. Testing involves many parameters, with many possible fault points, and relatively few analysis methods for abnormal data. In this paper, the array monitoring data on fiber optic is studied with analysis of packet structure. Comparing the numerical characteristics of the original IQ normal data with the abnormal data, the cause of abnormal data point of failure is located. The fault source is verified by activity data. The results show that this method is fast and accurate, reasonable and feasible.

TN972