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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Melkonyan, A. Akopian, D. Chen, C.L.P. |
| Copyright Year | 2009 |
| Description | Author affiliation: University of Texas at San Antonio, Electrical and Computer Engineering, San Antonio, USA (Melkonyan, A.; Akopian, D.; Chen, C.L.P.) |
| Abstract | This paper studies the validity of horizontal dilution of precision (HDOP) measure to evaluate sensor network geometries when localizing impacts in structural health monitoring (SHM). First HDOP is defined similarly to navigation applications. Even though several low complexity closed-form solutions have been proposed recently, HDOP measure has been theoretically justified only for iterative least squares approach. The localization errors of popular impact localization methods are experimentally collected and compared with HDOP data for validation. The experimental setup is also described. It is shown that HDOP in general correlates with the positioning error and can be used to characterize geometry. |
| Starting Page | 3775 |
| Ending Page | 3778 |
| File Size | 156812 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424427932 |
| ISSN | 1062922X |
| DOI | 10.1109/ICSMC.2009.5346673 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-10-11 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Iterative methods Geometry Acoustic sensors Least squares methods Position measurement USA Councils Sensor systems Electric variables measurement Computerized monitoring Computer vision Acoustic position measurement Acoustic radiators |
| Content Type | Text |
| Resource Type | Article |
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