Bibliographic Details
| Title: |
Statistical Modeling of Indirect Paths for UWB Sensors in an Indoor Environment |
| Authors: |
Moona Lee, Joon-Yong Lee |
| Source: |
Sensors, Vol 17, Iss 1, p 43 (2016) |
| Publisher Information: |
MDPI AG, 2016. |
| Publication Year: |
2016 |
| Collection: |
LCC:Chemical technology |
| Subject Terms: |
ultra-wideband, indirect path, human tracking, Chemical technology, TP1-1185 |
| More Details: |
In this paper, we present a statistical model of an indirect path generated in an ultra-wideband (UWB) human tracking scenario. When performing moving target detection, an indirect path signal can generate ghost targets that may cause a false alarm. For this purpose, we performed radar measurements in an indoor environment and established a statistical model of an indirect path based on the measurement data. The proposed model takes the form of a modified Saleh–Valenzuela model, which is used in a UWB channel model. An application example of the proposed model for mitigating false alarms is also presented. |
| Document Type: |
article |
| File Description: |
electronic resource |
| Language: |
English |
| ISSN: |
1424-8220 |
| Relation: |
http://www.mdpi.com/1424-8220/17/1/43; https://doaj.org/toc/1424-8220 |
| DOI: |
10.3390/s17010043 |
| Access URL: |
https://doaj.org/article/d7d23d39cc00412f9bbbbaa217545252 |
| Accession Number: |
edsdoj.7d23d39cc00412f9bbbbaa217545252 |
| Database: |
Directory of Open Access Journals |
