@InProceedings{7362570,
  author = {T. L. Jensen and M. L. Jakobsen and J. Østergaard and J. K. Nielsen and C. Byskov and P. Bæk and S. H. Jensen},
  booktitle = {2015 23rd European Signal Processing Conference (EUSIPCO)},
  title = {Online estimation of wind turbine blade deflection with UWB signals},
  year = {2015},
  pages = {1182-1186},
  abstract = {In this paper we use ultra-wideband (UWB) signals for the localization of blade tips on wind turbines. Our approach is to acquire two separate distances to each tip via time-delay estimation, and each tip is then localized by triangulation. We derive an approximate maximum a posteriori (MAP) delay estimator exploiting i) contextual prior information and ii) a direct-path approximation. The resulting deflection estimation algorithm is computationally feasible for online usage. Simulation studies are conducted to assess the overall triangulation uncertainty and it is observed that negative correlation between the two distance estimates is detrimental for the tip localization accuracy. Measurement data acquired in an anechoic chamber is used to confirm that the UWB-hardware complies with the desired/relevant ranging accuracy. Finally, measurement data obtained from a static test bench is used to demonstrate that the approximate MAP-based localization algorithm is able to outperform standard methods.},
  keywords = {anechoic chambers (electromagnetic);blades;delay estimation;maximum likelihood estimation;ultra wideband communication;wind turbines;ultrawideband signals;UWB signals;online estimation;wind turbine blade deflection;blade tips;time-delay estimation;maximum a posteriori delay estimator;MAP delay estimator;contextual prior information;direct-path approximation;deflection estimation;triangulation uncertainty;tip localization accuracy;anechoic chamber;UWB hardware;Blades;Wind turbines;Delays;Estimation;Approximation methods;Approximation algorithms;Signal processing algorithms;Wind turbines;blade deflection;localization;UWB signals;time-delay estimation;MAP estimation},
  doi = {10.1109/EUSIPCO.2015.7362570},
  issn = {2076-1465},
  month = {Aug},
  url = {https://www.eurasip.org/proceedings/eusipco/eusipco2015/papers/1570102585.pdf},
}

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H."],"bibdata":{"bibtype":"inproceedings","type":"inproceedings","author":[{"firstnames":["T.","L."],"propositions":[],"lastnames":["Jensen"],"suffixes":[]},{"firstnames":["M.","L."],"propositions":[],"lastnames":["Jakobsen"],"suffixes":[]},{"firstnames":["J."],"propositions":[],"lastnames":["Østergaard"],"suffixes":[]},{"firstnames":["J.","K."],"propositions":[],"lastnames":["Nielsen"],"suffixes":[]},{"firstnames":["C."],"propositions":[],"lastnames":["Byskov"],"suffixes":[]},{"firstnames":["P."],"propositions":[],"lastnames":["Bæk"],"suffixes":[]},{"firstnames":["S.","H."],"propositions":[],"lastnames":["Jensen"],"suffixes":[]}],"booktitle":"2015 23rd European Signal Processing Conference (EUSIPCO)","title":"Online estimation of wind turbine blade deflection with UWB signals","year":"2015","pages":"1182-1186","abstract":"In this paper we use ultra-wideband (UWB) signals for the localization of blade tips on wind turbines. Our approach is to acquire two separate distances to each tip via time-delay estimation, and each tip is then localized by triangulation. We derive an approximate maximum a posteriori (MAP) delay estimator exploiting i) contextual prior information and ii) a direct-path approximation. The resulting deflection estimation algorithm is computationally feasible for online usage. Simulation studies are conducted to assess the overall triangulation uncertainty and it is observed that negative correlation between the two distance estimates is detrimental for the tip localization accuracy. Measurement data acquired in an anechoic chamber is used to confirm that the UWB-hardware complies with the desired/relevant ranging accuracy. Finally, measurement data obtained from a static test bench is used to demonstrate that the approximate MAP-based localization algorithm is able to outperform standard methods.","keywords":"anechoic chambers (electromagnetic);blades;delay estimation;maximum likelihood estimation;ultra wideband communication;wind turbines;ultrawideband signals;UWB signals;online estimation;wind turbine blade deflection;blade tips;time-delay estimation;maximum a posteriori delay estimator;MAP delay estimator;contextual prior information;direct-path approximation;deflection estimation;triangulation uncertainty;tip localization accuracy;anechoic chamber;UWB hardware;Blades;Wind turbines;Delays;Estimation;Approximation methods;Approximation algorithms;Signal processing algorithms;Wind turbines;blade deflection;localization;UWB signals;time-delay estimation;MAP estimation","doi":"10.1109/EUSIPCO.2015.7362570","issn":"2076-1465","month":"Aug","url":"https://www.eurasip.org/proceedings/eusipco/eusipco2015/papers/1570102585.pdf","bibtex":"@InProceedings{7362570,\n author = {T. L. Jensen and M. L. Jakobsen and J. Østergaard and J. K. Nielsen and C. Byskov and P. Bæk and S. H. Jensen},\n booktitle = {2015 23rd European Signal Processing Conference (EUSIPCO)},\n title = {Online estimation of wind turbine blade deflection with UWB signals},\n year = {2015},\n pages = {1182-1186},\n abstract = {In this paper we use ultra-wideband (UWB) signals for the localization of blade tips on wind turbines. Our approach is to acquire two separate distances to each tip via time-delay estimation, and each tip is then localized by triangulation. We derive an approximate maximum a posteriori (MAP) delay estimator exploiting i) contextual prior information and ii) a direct-path approximation. The resulting deflection estimation algorithm is computationally feasible for online usage. Simulation studies are conducted to assess the overall triangulation uncertainty and it is observed that negative correlation between the two distance estimates is detrimental for the tip localization accuracy. Measurement data acquired in an anechoic chamber is used to confirm that the UWB-hardware complies with the desired/relevant ranging accuracy. 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