Linear Estimation in Interconnected Sensor Systems with Information Constraints
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...
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| Format: | Book Chapter |
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KIT Scientific Publishing
2015
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| Online Access: | Get Fullteks DOAB: description of the publication |
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| LEADER | 01709naaaa2200337uu 4500 | ||
|---|---|---|---|
| 001 | doab_20_500_12854_51747 | ||
| 005 | 20210211 | ||
| 020 | |a KSP/1000045577 | ||
| 020 | |a 9783731503422 | ||
| 024 | 7 | |a 10.5445/KSP/1000045577 |c doi | |
| 041 | 0 | |a English | |
| 042 | |a dc | ||
| 100 | 1 | |a Reinhardt, Marc |4 auth | |
| 245 | 1 | 0 | |a Linear Estimation in Interconnected Sensor Systems with Information Constraints |
| 260 | |b KIT Scientific Publishing |c 2015 | ||
| 300 | |a 1 electronic resource (XVII, 227 p. p.) | ||
| 506 | 0 | |a Open Access |2 star |f Unrestricted online access | |
| 520 | |a 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. | ||
| 540 | |a Creative Commons |f https://creativecommons.org/licenses/by-sa/4.0/ |2 cc |4 https://creativecommons.org/licenses/by-sa/4.0/ | ||
| 546 | |a English | ||
| 653 | |a Schätztheorie | ||
| 653 | |a Kalman Filter | ||
| 653 | |a estimation theory | ||
| 653 | |a Sensornetze | ||
| 653 | |a Verteilte SystemsData fusion | ||
| 653 | |a distributed systems | ||
| 653 | |a Datenfusion | ||
| 653 | |a sensor networks | ||
| 653 | |a Kalman filtering | ||
| 856 | 4 | 0 | |a www.oapen.org |u https://www.ksp.kit.edu/9783731503422 |7 0 |z Get Fullteks |
| 856 | 4 | 0 | |a www.oapen.org |u https://directory.doabooks.org/handle/20.500.12854/51747 |7 0 |z DOAB: description of the publication |