雷达状态检测数据非均匀稀化方法

A Method of Radar State Detection Data Non-uniform Desaturation

大量的状态检测数据会增加数据处理的复杂度,降低状态检测的实时性;为了对雷达状态检测的海量数据稀化处理,并克服均匀稀化造成的关键数据丢失问题,根据装备故障分布规律,把检测数据分为正常、亚正常(指有发生故障的趋势)、故障三类,提出了采用一种非均匀稀化方法,对不同状态下的检测数据,实现不同比例的稀化;通过实例验证非均匀稀化方法的有效性,对正常数据稀化非常有效,对亚正常状态数据采用较高的保留率,对故障状态数据可以实现全部保留。

Plenty of status detector data can increase the complex degree of data handling, and reduce the real time of state inspection. In order to desaturate the masses of radar state detection data and avoid the important data losing caused by the data desaturation, according to fault distribution, we divide detection data into normal, subnormal （ refers to the trend of failure） and fault, with a kind of non-uniform desatura- tion method, for the detection data under different state have realized different proportion desaturation. The examples demonstrate the effectiveness of the non-uniform desaturation method, the normal data desatura- tion is very effective, with higher retention rate of normal data, and the fault data can achieve all the reser- vations.