01886nam 2200409z- 450 991034678320332120231214133311.01000045577(CKB)4920000000100691(oapen)https://directory.doabooks.org/handle/20.500.12854/51747(EXLCZ)99492000000010069120202102d2015 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierLinear Estimation in Interconnected Sensor Systems with Information ConstraintsKIT Scientific Publishing20151 electronic 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.SchätztheorieKalman Filterestimation theorySensornetzeVerteilte SystemsData fusiondistributed systemsDatenfusionsensor networksKalman filteringReinhardt Marcauth1318463BOOK9910346783203321Linear Estimation in Interconnected Sensor Systems with Information Constraints3033287UNINA