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Sensor Network Localization by Eigenvector Synchronization Over the Euclidean Group
We present a new approach to localization of sensors from noisy measurements of a subset of their Euclidean distances. Our algorithm starts by finding, embedding, and aligning uniquely realizable subsets of neighboring sensors called patches. In the noise-free case, each patch agrees with its global...
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| Hlavní autoři: | , , |
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| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
2012
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3741000/ https://ncbi.nlm.nih.gov/pubmed/23946700 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1145/2240092.2240093 |
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