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| Content Provider | Springer Nature Link |
|---|---|
| Author | Smith, David B. Hanlen, Leif W. Zhang, Jian Andrew Miniutti, Di Rodda, David Gilbert, Ben |
| Copyright Year | 2010 |
| Abstract | Comprehensive statistical characterizations of the dynamic narrowband on-body area and on-body to off-body area channels are presented. These characterizations are based on real-time measurements of the time domain channel response at carrier frequencies near the 900- and 2,400-MHz industrial, scientific, and medical bands and at a carrier frequency near the 402-MHz medical implant communications band. We consider varying amounts of body movement, numerous transmit–receive pair locations on the human body, and various bandwidths. We also consider long periods, i.e., hours of everyday activity (predominantly indoor scenarios), for on-body channel characterization. Various adult human test subjects are used. It is shown, by applying the Akaike information criterion, that the Weibull and Gamma distributions generally fit agglomerates of received signal amplitude data and that in various individual cases the Lognormal distribution provides a good fit. We also characterize fade duration and fade depth with direct matching to second-order temporal statistics. These first- and second-order characterizations have important utility in the design and evaluation of body area communications systems. |
| Starting Page | 187 |
| Ending Page | 203 |
| Page Count | 17 |
| File Format | |
| ISSN | 00034347 |
| Journal | Annales Des Télécommunications |
| Volume Number | 66 |
| Issue Number | 3-4 |
| e-ISSN | 19589395 |
| Language | English |
| Publisher | Springer-Verlag |
| Publisher Date | 2010-12-23 |
| Publisher Place | Paris |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Body area networks Channel modeling Akaike information criterion Fading channels Radio propagation Wireless communication Communications Engineering, Networks Computer Communication Networks Information Systems and Communication Service Information and Communication, Circuits Signal, Image and Speech Processing R & D/Technology Policy |
| Content Type | Text |
| Resource Type | Article |
| Subject | Electrical and Electronic Engineering |
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