Särestöniemi M., Pomalaza-Raez C., Kumpuniemi T., Hämäläinen M., Iinatti J. (2020) A Finite Integration Technique-Based Simulation Study on the Impact of the Sternotomy Wires on the UWB Channel Characteristics. In: Sugimoto C., Farhadi H., Hämäläinen M. (eds) 13th EAI International Conference on Body Area Networks. BODYNETS 2018. EAI/Springer Innovations in Communication and Computing. Springer, Cham
A finite integration technique based simulation study on the impact of the sternotomy wires on the UWB channel characteristics
|Author:||Särestöniemi, Mariella1; Pomalaza-Raez, Carlos2; Kumpuniemi, Timo1;|
1Centre for Wireless Communications, University of Oulu, Finland
2Department of Electrical and Computer Engineering, Purdue University, USA
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe202003178299
|Publish Date:|| 2021-03-04
This paper presents for the first time a simulation study on the impact of the sternotomy wires on the ultra-wideband (UWB) channel characteristics. The simulations are based on the finite integration technique (FIT). The simulation results are verified with the propagation path calculations as well as with the measurement data. It is found that there is a clear correspondence between the simulated and measurement results as well as with the propagation path calculations which allows smooth transceiver algorithm investigation.
|Pages:||1 - 14|
13th EAI International Conference on Body Area Networks
|Host publication editor:||
EAI International Conference on Body Area Networks
|Type of Publication:||
A4 Article in conference proceedings
|Field of Science:||
213 Electronic, automation and communications engineering, electronics
This research has been financially supported by the project WBAN Communications in the Congested Environments and in part by Academy of Finland 6GGenesis Flagship (grant 318927).
|Academy of Finland Grant Number:||
318927 (Academy of Finland Funding decision)
© Springer Nature Switzerland AG 2020. This is a post-peer-review, pre-copyedit version of an article published in 13th EAI International Conference on Body Area Networks. The final authenticated version is available online at: https://doi.org/10.1007/978-3-030-29897-5_4.