A Sensor Self-aware Distributed Consensus Filter for Simultaneous Localization and Tracking
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- 作者：Xiangyuan Jiang ; Peng Ren ; Chunbo Luo
- 关键词：Information ; weighted consensus filter ; Self ; awareness ; Recursive maximum likelihood ; Simultaneous localization and tracking
- 刊名：Cognitive Computation
- 出版年：2016
- 出版时间：October 2016
- 年：2016
- 卷：8
- 期：5
- 页码：828-838
- 全文大小：5,804 KB
- 刊物主题：Neurosciences; Computation by Abstract Devices; Artificial Intelligence (incl. Robotics); Computational Biology/Bioinformatics;
- 出版者：Springer US
- ISSN：1866-9964
- 卷排序：8
文摘
Background/IntroductionSimultaneous localization and tracking (SLAT) has become a very hot topic in both academia and industry for its potential wide applications in robotic equipment, sensor networks and smart devices. In order to exploit the advantages supported by state filtering and parameter estimation, researchers have proposed adaptive structures for solving SLAT problems. Existing solutions for SLAT problems that rely on belief propagation often have limited accuracy or high complexity. To adapt the brain decision mechanism for solving SLAT problems, we introduce a specific framework that is suitable for wireless sensor networks.