| Title | Node Localization in Unsynchronized Time of Arrival Sensor Networks |
| Authors | Simon Burgess, Yubin Kuang, Karl Åström |
| Full-text | Available as PDF, Restricted Access |
| Publication | 21st International Conference on Pattern Recognition (ICPR 2012), Proceedings of |
| Year | 2012 |
| Pages | 2042 - 2046 |
| Document type | Conference paper |
| Conference name | 21st International Conference on Pattern Recognition (ICPR 2012) |
| Conference Date | 2012-11-11/2012-11-15 |
| Conference Location | Tsukuba, Japan |
| Status | Published |
| Quality controlled | Yes |
| Language | eng |
| Publisher | International Association for Pattern Recognition (IAPR) & IEEE |
| Abstract English | We present a method for solving the previously unstudied<br> problem of localizing a set of receivers and directions<br> from transmitters placed far from the receivers,<br> measuring unsynchronized time of arrival data. The<br> same problem is present in node localization of microphone<br> and antenna arrays. The solution algorithm using<br> 5 receivers and 9 transmitters is extended to the<br> overdetermined case in a straightforward manner. Degenerate<br> cases are shown to be when i) the measurement<br> matrix has rank 4 or less or ii) the directions from<br> the transmitters to the receivers lie on an intersection<br> between the unit sphere and another quadric surface.<br> In simulated experiments we explore how sensitive the<br> solution is with respect to different degrees of far field<br> approximations of the transmitters and with respect to<br> noise in the data. Using real data we get a reconstruction<br> of the receivers with a relative error of 14%. |
| Keywords | Unsynchronized Time-of-Arrival, sensor networks, |
| ISBN/ISSN/Other | ISBN: 978-4-9906441-1-6 |
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