Dynamic Propagation Channel Characterization and Modeling for Human Body Communication
Zedong Nie; Jingjing Ma; Zhicheng Li; Hong Chen; Lei Wang
刊名SENSORS
2012
英文摘要This paper presents the first characterization and modeling of dynamic propagation channels for human body communication (HBC). In-situ experiments were performed using customized transceivers in an anechoic chamber. Three HBC propagation channels, i.e., from right leg to left leg, from right hand to left hand and from right hand to left leg, were investigated under thirty-three motion scenarios. Snapshots of data (2,800,000) were acquired from five volunteers. Various path gains caused by different locations and movements were quantified and the statistical distributions were estimated. In general, for a given reference threshold è = 6110 dB, the maximum average level crossing rate of the HBC was approximately 1.99 Hz, the maximum average fade time was 59.4 ms, and the percentage of bad channel duration time was less than 4.16%. The HBC exhibited a fade depth of 614 dB at 90% complementary cumulative probability. The statistical parameters were observed to be centered for each propagation channel. Subsequently a Fritchman model was implemented to estimate the burst characteristics of the on-body fading. It was concluded that the HBC is motion-insensitive, which is sufficient for reliable communication link during motions, and therefore it has great potential for body sensor/area networks.
收录类别SCI
原文出处http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3571854/pdf/sensors-12-17569.pdf
语种英语
内容类型期刊论文
源URL[http://ir.siat.ac.cn:8080/handle/172644/4005]  
专题深圳先进技术研究院_医工所
作者单位SENSORS
推荐引用方式
GB/T 7714
Zedong Nie,Jingjing Ma,Zhicheng Li,et al. Dynamic Propagation Channel Characterization and Modeling for Human Body Communication[J]. SENSORS,2012.
APA Zedong Nie,Jingjing Ma,Zhicheng Li,Hong Chen,&Lei Wang.(2012).Dynamic Propagation Channel Characterization and Modeling for Human Body Communication.SENSORS.
MLA Zedong Nie,et al."Dynamic Propagation Channel Characterization and Modeling for Human Body Communication".SENSORS (2012).
个性服务
查看访问统计
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。


©版权所有 ©2017 CSpace - Powered by CSpace