基于不完整数据的异常信号检测方法

Abnormal Signal Detection Method Based on Incomplete Data

针对异常电磁信号检测中常见的输入数据存在参数缺失的问题,提出一种基于不完整数据的异常信号检测方法。该方法借鉴几何数学的思想,通过将缺失数据与正常数据进行比对,分析出缺失数据异常的可能性,给出该数据的异常概率计算方法。通过该异常概率能直接检测出部分异常信号,并给出剩余不完整数据的异常可能性的排序,从而有利于在资源有限时优先处理异常概率高的信号,达到处理资源优化配置的目的。实验结果表明,该方法能给出缺失数据点的异常概率。

A new technique for the problem of incomplete data in abnormal signal detection system is proposed. Getting inspiration from the geometry, the new method compares the incomplete date with normal data, it presents a computation method of abnormal probability. With the abnormal probability, some abnormal signals can be detected directly, and the other incomplete data can be arranged. The algorithm decreases the workload and makes good use of calculation resources. Experimental result shows that when some parameters are lost, the method can get the reasonable abnormal probability of the incomplete data.