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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Cocheril, Y. Vauzelle, R. Aveneau, L. |
| Copyright Year | 2006 |
| Description | Author affiliation: SIC Lab., Poitiers Univ., Poitiers (Cocheril, Y.; Vauzelle, R.; Aveneau, L.) |
| Abstract | An original approach to characterize radio channel in indoor environments composed of rough surfaces is presented. It is based on algorithms developed for the image rendering field that are extended to the radio wave propagation. To simulate rough surfaces scattering, these algorithms need information about roughness. A possible solution consists of quantifying roughness by using statistical distributions of surface parameters, such as heights, slopes and local normals. In this paper, different theoretical statistical laws are presented and a fitting is realized with corresponding distributions of three real samples of wall roughcasts. For these cases, the best parameter to quantify the roughness is presented. Next, two algorithms which take roughness into account are detailed and compared with first results of channel simulations in indoor environments at 60 GHz. |
| Starting Page | 1 |
| Ending Page | 5 |
| File Size | 256693 |
| Page Count | 5 |
| File Format | |
| ISBN | 1424400627 |
| DOI | 10.1109/VTCF.2006.32 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2006-09-25 |
| Publisher Place | Canada |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Rough surfaces Surface roughness Optical surface waves Optical scattering Indoor environments Ray tracing Surface waves Fresnel reflection Surface fitting Statistical distributions |
| Content Type | Text |
| Resource Type | Article |
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