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纸质出版:2020
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李网扣. 基于大数据的干扰源智能定位系统[J]. 电信工程技术与标准化, 2020,33(12):77-79.
李网扣. Intelligent location system of interference source based on big data[J]. 2020, 33(12): 77-79.
李网扣. 基于大数据的干扰源智能定位系统[J]. 电信工程技术与标准化, 2020,33(12):77-79. DOI: 10.13992/j.cnki.tetas.2020.12.016.
李网扣. Intelligent location system of interference source based on big data[J]. 2020, 33(12): 77-79. DOI: 10.13992/j.cnki.tetas.2020.12.016.
面对网络质量受无线干扰影响的束缚
本文制定基于大数据的干扰源智能定位系统
基于MRO数据和干扰数据库信息对干扰用户进行特征画像
依据干扰用户标签特征和干扰定位识别算法
准确定位干扰区域
再结合面、线、点的现场频谱定位排查3步法快速精确定位干扰源所在位置
提升现场扫频排扰效率
促进网络质量不断提升。
In the face of the shackles of network quality affected by wireless interference
an intelligent location system of interference source based on big data is developed. Based on MRO data and interference database information
interference users are characterized
interference areas are accurately located according to interference user label features and interference location identification algorithm
and then the "three-step" rapid and accurate determination is combined with field spectrum positioning and investigation of surface
line and point the location of bit interference source can improve the efficiency of on-site frequency sweeping and interference elimination
and promote the continuous improvement of network quality.
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