000253298 001__ 253298
000253298 005__ 20190619220016.0
000253298 037__ $$aCONF
000253298 245__ $$aCombining Range and Direction for Improved Localization
000253298 260__ $$c2018
000253298 269__ $$a2018
000253298 300__ $$a5
000253298 336__ $$aConference Papers
000253298 520__ $$aSelf-localization of nodes in a sensor network is typically achieved using either range or direction measurements; in this paper, we show that a constructive combination of both improves the estimation. We propose two localization algorithms that make use of the differences between the sensors’ coordinates, or edge vectors; these can be calculated from measured distances and angles. Our first method improves the existing edge-multidimensional scaling algorithm (E-MDS) by introducing additional constraints that enforce geometric consistency between the edge vectors. On the other hand, our second method decomposes the edge vectors onto 1-dimensional spaces and introduces the concept of coordinate difference matrices (CDMs) to independently regularize each projection. This solution is optimal when Gaussian noise is added to the edge vectors. We demonstrate in numerical simulations that both algorithms outperform state-of-the-art solutions.
000253298 6531_ $$aRange and direction measurements, sensor arrays, calibration, node localization, measurement uncertainty.
000253298 700__ $$g175320$$aBaechler, Gilles$$0246557
000253298 700__ $$g205656$$aDümbgen, Frederike$$0250475
000253298 700__ $$g233163$$aElhami, Golnooshsadat$$0249454
000253298 700__ $$g248373$$aKrekovic, Miranda$$0248299
000253298 700__ $$aScheibler, Robin$$0246726$$g161208
000253298 700__ $$0248245$$aScholefield, Adam James$$g248476
000253298 700__ $$0240184$$aVetterli, Martin$$g107537
000253298 7112_ $$dApril 15-20$$cCalgary, Canada$$aInternational Conference on Acoustics, Speech, and Signal Processing
000253298 8560_ $$fmihailo.kolundzija@epfl.ch
000253298 8564_ $$uhttps://infoscience.epfl.ch/record/253298/files/icassp2018.pdf$$zFinal$$s154119
000253298 8564_ $$uhttps://infoscience.epfl.ch/record/253298/files/icassp2018.pdf?subformat=pdfa$$zFinal$$s1779607$$xpdfa
000253298 909C0 $$pLCAV$$xU10434$$mmihailo.kolundzija@epfl.ch$$0252056$$yApproved
000253298 909CO $$qGLOBAL_SET$$pconf$$pIC$$ooai:infoscience.epfl.ch:253298
000253298 960__ $$agolnoosh.elhami@epfl.ch
000253298 961__ $$alaurence.gauvin@epfl.ch
000253298 973__ $$aEPFL$$rREVIEWED
000253298 980__ $$aCONF
000253298 981__ $$aoverwrite