基于指数加权卡尔曼滤波的快速链路质量估计  

Fast link quality estimation based on exponentially weighted Kalman filtering

作　　者：夏宇 刘伟 罗嵘[2] 胡顺仁 XIA Yu;LIU Wei;LUO Rong;HU Shunren(School of Electrical and Electronic Engineering,Chongqing University of Technology,Chongqing 400054,China;Department of Electronic Engineering,Tsinghua University,Beijing 100084,China)

机构地区：[1]重庆理工大学电气与电子工程学院,重庆400054 [2]清华大学电子工程系,北京100084

出　　处：《传感器与微系统》2020年第8期58-61,共4页Transducer and Microsystem Technologies

基　　金：国家自然科学基金资助项目(61601069);重庆市基础研究与前沿探索项目(CSTC2017JCYJAX0254);重庆市教委科学技术研究项目(KJ1600935)。

摘　　要：针对硬件的链路质量估计器不能很好地解决快速估计时物理层参数波动较大的问题,提出了一种基于指数加权卡尔曼滤波的快速链路质量估计方法。通过指数加权卡尔曼滤波器获得更为稳定的接收信号强度指示器估计值并计算得到信噪比,再通过信噪比与收包率的映射关系对链路质量进行估计。实验结果表明:仅需少量数据包即可快速获得较为准确的链路质量估计。与同类型的估计方法相比,该方法在不同链路质量下的估计误差减小了1.67%~16.53%。Aiming at the problem that the existing hardware-based link quality estimators cannot solve the problem of large fluctuations of physical layer parameters in fast estimation,a fast link quality estimation scheme based on exponentially weighted Kalman filtering is proposed. It obtains more stable estimated values of received signal strength indicator( RSSI) using exponentially weighted Kalman filter and then computes to obtain signal-tonoise ratios accordingly. Link quality is estimated by the mapping relation between signal-to-noise ratio and packet reception ratio. Experimental results show that,accurate link quality estimation can be obtained quickly only with a few data packets. Compared with similar estimation methods,the estimation error of the proposed one is reduced by1. 67 %~ 16. 53 % under different link qualities.

关 键 词：链路质量估计 指数加权 卡尔曼滤波 无线传感器网络(WSNs) 接收信号强度指示 

分 类 号：TP393[自动化与计算机技术—计算机应用技术] TP212[自动化与计算机技术—计算机科学与技术]