| 书目名称 | Multisensor Decision And Estimation Fusion | | 编辑 | Yunmin Zhu | | 视频video | | | 丛书名称 | The International Series on Asian Studies in Computer and Information Science | | 图书封面 |  | | 描述 | YUNMIN ZHU In the past two decades, multi sensor or multi-source information fusion tech niques have attracted more and more attention in practice, where observations are processed in a distributed manner and decisions or estimates are made at the individual processors, and processed data (or compressed observations) are then transmitted to a fusion center where the final global decision or estimate is made. A system with multiple distributed sensors has many advantages over one with a single sensor. These include an increase in the capability, reliability, robustness and survivability of the system. Distributed decision or estimation fusion prob lems for cases with statistically independent observations or observation noises have received significant attention (see Varshney‘s book Distributed Detec tion and Data Fusion, New York: Springer-Verlag, 1997, Bar-Shalom‘s book Multitarget-Multisensor Tracking: Advanced Applications, vol. 1-3, Artech House, 1990, 1992,2000). Problems with statistically dependent observations or observation noises are more difficult and have received much less study. In practice, however, one often sees decision or estimation fusion problems with statis | | 出版日期 | Book 2003 | | 关键词 | Extension; Sensor; Signal; algorithms; communication; decision problem; filtering; information; knowledge; mo | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-4615-1045-1 | | isbn_softcover | 978-1-4613-5367-6 | | isbn_ebook | 978-1-4615-1045-1Series ISSN 1566-0710 | | issn_series | 1566-0710 | | copyright | Springer Science+Business Media New York 2003 |
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发表于 2025-3-21 17:38:20
