Research Article
Signal Quality Assessment of Wireless Signal Based on Compressed Sensing
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@INPROCEEDINGS{10.1007/978-3-319-73564-1_23, author={Fei An and Fusheng Dai}, title={Signal Quality Assessment of Wireless Signal Based on Compressed Sensing}, proceedings={Machine Learning and Intelligent Communications. Second International Conference, MLICOM 2017, Weihai, China, August 5-6, 2017, Proceedings, Part I}, proceedings_a={MLICOM}, year={2018}, month={2}, keywords={Wireless communication Signal quality assessment Compressed sensing Field measurements}, doi={10.1007/978-3-319-73564-1_23} }- Fei An
Fusheng Dai
Year: 2018
Signal Quality Assessment of Wireless Signal Based on Compressed Sensing
MLICOM
Springer
DOI: 10.1007/978-3-319-73564-1_23
Abstract
Detecting signal interference and assessing signal quality are essential tasks to ensure the normal communication within an area. As for traditional methods, we have to take field measurements after setting up a base station which needs to obtain huge data in low efficiency. Aiming at this particular problem, this paper proposed to assess signal quality by compressed sensing. Method of compressed sensing used in signal quality assessment is firstly discussed. After that, we introduced the specific process when assessing. At last the results of reconstructing the measured data and the predicted data separately shows that it could met the accuracy requirements of signal quality assessment.
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