01904nam 2200421z- 450 9910346783203321202102111000045577(CKB)4920000000100691(oapen)https://directory.doabooks.org/handle/20.500.12854/51747(oapen)doab51747(EXLCZ)99492000000010069120202102d2015 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierLinear Estimation in Interconnected Sensor Systems with Information ConstraintsKIT Scientific Publishing20151 online resource (XVII, 227 p. p.)Karlsruhe Series on Intelligent Sensor-Actuator-Systems / Karlsruher Institut für Technologie, Intelligent Sensor-Actuator-Systems Laboratory3-7315-0342-5 A ubiquitous challenge in many technical applications is to estimate an unknown state by means of data that stems from several, often heterogeneous sensor sources. In this book, information is interpreted stochastically, and techniques for the distributed processing of data are derived that minimize the error of estimates about the unknown state. Methods for the reconstruction of dependencies are proposed and novel approaches for the distributed processing of noisy data are developed.Datenfusiondistributed systemsestimation theoryKalman FilterKalman filteringSchätztheoriesensor networksSensornetzeVerteilte SystemsData fusionReinhardt Marcauth1318463BOOK9910346783203321Linear Estimation in Interconnected Sensor Systems with Information Constraints3033287UNINA