摘要
针对数字预失真测试平台设备价格昂贵,实验研究受限时间、地点等问题,构建了一种数字预失真测试平台的云监测系统方案。通过HTML5技术、Node.Js技术、云存储技术和SCPI编程的结合使用,实现数字预失真测试平台的云端数据处理和数据存储、不同局域网之间的数据通信。实际测试表明,该方案的稳定性较好,可扩展能力强,完全可以满足大多数数字预失真研究对仪器控制、数据分析和存储的要求。
Aiming at the problem that the equipment of digital predistortion test platform is expen-sive, the research time, location and other problems are studied, a cloud forecasting system schemeof digital predistortion test platform is constructed. Through the HTML5 technology, Node. js tech-nology, cloud storage technology and SCPI programming in combination to achieve digital predistor-tion test platform for cloud data processing and data storage, data communication between differentlocal area networks. The actual test shows that the scheme is stable and scalable, and it can meetthe requirements of most digital predistortion research on instrument control, data analysis and stor-age.
作者
李方方
刘太君
叶焱
陈亮
LI Fang-fang;LIU Tai-jun;YE Yan;CHEN Liang(College of Information Science and Engineering,Ningbo University, Ningbo 315211, China)
出处
《无线通信技术》
2017年第4期52-55,60,共5页
Wireless Communication Technology
基金
国家自然科学基金项目(61571251)
浙江省公益技术应用研究项目(2015C34004)
宁波大学研究生科研创新基金(G61081)
