Temporal wireless synchronization with compressed opportunistic signals
dc.Affiliation | October University for modern sciences and Arts (MSA) | |
dc.contributor.author | Ibrahim, Mohamed | |
dc.contributor.author | Roemer, Florian | |
dc.contributor.author | Hadaschik, Niels | |
dc.contributor.author | Tröger, Hans-Martin | |
dc.contributor.author | Sackenreuter, Benjamin | |
dc.contributor.author | Franke, Norbert | |
dc.contributor.author | Robert, Joerg | |
dc.contributor.author | Del Galdo, Giovanni | |
dc.date.accessioned | 2020-03-07T08:07:09Z | |
dc.date.available | 2020-03-07T08:07:09Z | |
dc.date.issued | 2016 | |
dc.description | MSA Google Scholar | en_US |
dc.description.abstract | In this paper we introduce a wireless temporal synchronization scheme based on wideband signals of opportunity (SOO) such as DVB-T or LTE signals. Since these signals may not be decodable we show that it is necessary that one (reference) node broadcasts an excerpt of the SOO to all other nodes to provide a reference. However, the transmission of this reference signals requires a high bandwidth. Therefore, we propose to replace this transmission with a lower-bandwidth “compressed” version of this reference signal, using ideas from the field of compressed sensing (CS). We show that the high time resolution of the original wideband SOO can be maintained so that accurate temporal synchronization is possible. On the other hand, the compression leads to higher sidelobes in the correlation function which reduces the effective SNR. Therefore, the compression rate allows to control the trade-off between the required bandwidth and the SNR. | en_US |
dc.description.sponsorship | IEEE | en_US |
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dc.identifier.doi | https://doi.org/10.1109/WISNET.2016.7444331 | |
dc.identifier.issn | 2332-5615 | |
dc.identifier.other | https://doi.org/10.1109/WISNET.2016.7444331 | |
dc.identifier.uri | https://t.ly/e3YeR | |
dc.language.iso | en | en_US |
dc.publisher | IEEE | en_US |
dc.relation.ispartofseries | 2016 IEEE Topical Conference on Wireless Sensors and Sensor Networks (WiSNet);Pages : 93-96 | |
dc.subject | University of Correlation , Synchronization , Delays , Wireless sensor networks , Bandwidth , Wireless communication , Signal to noise ratio , compressed sensing , correlation methods , data compression , synchronisation , wireless sensor networks | en_US |
dc.title | Temporal wireless synchronization with compressed opportunistic signals | en_US |
dc.type | Article | en_US |
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