摘要
为提高无线层析成像(RTI)算法在多径环境下对运动目标的跟踪精度,降低多径效应对信号变化的影响,引入指数移动平均(EMA)作为无线层析成像中衡量信号变化的参量.采用长时EMA作为基准,无需事先测量待测区域的背景信息.进行了室外穿墙和室内多径环境的单运动目标跟踪实验,与SRTI和KRTI比较,结果显示基于指数移动平均的RTI算法跟踪误差小于其他算法,而算法耗时没有明显增加.
To improve the tracking accuracy of moving objects in radio tomographic imaging(RTI)and reduce the multipath effect,exponential moving average(EMA)was used as the parameter to evaluate the signal changes in RTI.Long-term EMA was used as an alternative benchmark to avoid the measurement of the background information in advance for the area.Two single-moving person localization experiments were performed in outdoor through walls and indoor multipath environments.Compared with SRTI and KRTI,results show that the RTI method based on EMA can obtain better localization accuracy without obvious increasing of time consuming.
作者
高飞
王继勇
孙成
GAO Fei;WANG Ji-yong;SUN Cheng(School of Information and Electronics,Beijing Institute of Technology,Beijing 100081,China)
出处
《北京理工大学学报》
EI
CAS
CSCD
北大核心
2018年第11期1141-1148,共8页
Transactions of Beijing Institute of Technology
基金
国家自然科学基金资助项目(61227001
61471045)
关键词
无线层析成像
指数移动平均
多径环境
radio tomographic imaging
exponential moving average
multipath environment
