摘要
为了解决传统的无线寻呼接收机微弱信号特征检测系统效率低且耗费大量人力的缺陷。设计并实现了一种基于数据挖掘的寻呼接收机微弱信号特征检测系统。使用数字信号处理芯片进行数据预处理和数据挖掘,从海量的移动通信数据中甄别出寻呼接收机微弱信号特征,采用基于随机搜索的大规模应用聚类技术对网络通信数据进行聚类分析,利用专家系统的知识库和推理机进行数据检测和寻呼接收机诊断,通过规则匹配检测寻呼接收机和更新知识库,以提高检测的效率和准确度。实验结果表明,寻呼接收机微弱信号特征检测系统可有效检测通信寻呼接收机发生的微弱信号,运算次数为传统检测系统的40%以下,运算效率得到提高,并且准确度也有所增加,有极强的实际应用价值。
In order to solve the traditional weak signal characteristics of wireless paging receiver detection system low effi-ciency and cost a lot of human flaws. Designed and implemented a pager receiver characteristics of weak signal detectionbased on data mining system. Using digital signal processing chip for data preprocessing and data mining, screened outfrom massive mobile communication data paging receiver weak signal feature, the large-scale application of clusteringbased on random search technique for network communication data clustering analysis, the use of expert system knowledgebase and reasoning machine for data detection and paging receiver diagnosis, through the rule matching detection paging re-ceiver and update the knowledge base, in order to improve the efficiency and accuracy of detection. The experimental re-sults show that the paging receiver characteristics of weak signal detection system can effective communication paging re-ceiver of weak signal detection, number of operation for less than 40% of the traditional detection system, operation efficien-cy was improved, and the accuracy is also increased, strong practical application value.
出处
《科技通报》
北大核心
2014年第12期91-93,共3页
Bulletin of Science and Technology
关键词
移动通信网络
寻呼接收机微弱信号
特征检测
知识库
mobile communication network
equipment weak signal
feature detection
knowledge base
