基于Kalman滤波算法的通信链路环境参数采集系统  

Communication link environmental parameter data acquisition system based on Kalman filter algorithm

作　　者：王晓品 WANG Xiaopin(Department of Electronics,Software Engineering Institute of Guangzhou,Guangzhou 510990,China)

机构地区：[1]广州软件学院电子系,广东广州510990

出　　处：《西安工程大学学报》2021年第2期35-40,共6页Journal of Xi’an Polytechnic University

基　　金：广东省教育厅高校自然科学一般研究项目(20190526);2019年广州大学华软学院科研项目(ky201904)。

摘　　要：传统的环境参数采集过程易受到环境噪声干扰影响,导致数据传输时延长、数据完整度低。针对这一问题,采用STM32处理器,利用报警电路避免采集数据过大或过小问题,再通过配置去耦电容和设计地线实现系统抗干扰设计,从而降低数据传输时延。基于此,利用Kalman滤波算法可还原真实数据的性能,去除通信链路环境噪声,实现完整的参数采集。结果表明:无论在单跳还是多跳传输的情况下,系统的数据传输时延可保持在15 s以下,且参数数据有效完整度始终不低于0.96。The traditional acquisition process of environmental parameters is easily affected by environmental noise,which leads to prolonged data transmission time and low data integrity.To solve this problem,with the STM32 processor adopted,the alarm circuit was used to avoid the problem of too large or too small data collection,and then the anti-interference design of the system was realized through the configuration of decoupling capacitor and the design of ground wire,so as to reduce the data transmission delay.Based on this,Kalman filtering algorithm could be used to restore the performance of real data,remove the environmental noise of communication link,and realize complete parameter acquisition.The experimental results show that the data transmission delay of the system in this paper can be kept below 15 s and the effective integrity of the parameter data is always not less than 0.96 regardless of single hop or multi hop transmission.

关 键 词：通信链路 环境参数 卡尔曼滤波算法 去耦电容 抗干扰 数据采集 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]