自适应数据融合处理:思想和观点

Conference Record of Thirty-Second Asilomar Conference on Signals, Systems and Computers (Cat. No.98CH36284) Pub Date : 1998-11-01 DOI:10.1109/ACSSC.1998.750935

J. Llinas, T. Singh

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引用次数: 2

摘要

本文的重点是阐述数据融合的体系结构，重新审视数据融合面板所构想的标准表示，并描述纽约州立大学布法罗分校多源信息融合中心(CMIF)在自适应模糊/spl alpha/-/spl beta/目标跟踪器开发方面所开展的工作。本文详细讨论了/spl alpha/-/spl beta/-/spl gamma/滤波器作为一种采样数据目标跟踪器，可以渐近跟踪恒定加速度目标。通过确定/spl alpha/-/spl beta/-/spl gamma/参数的边界来分析/spl alpha/-/spl beta/-/spl gamma/滤波器的稳定性和噪声滤波能力。

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Adaptive data fusion processing: thoughts and perspectives

The focus of this paper is on stating the architecture of data fusion, revisiting the standard representation conceived of by the Data Fusion panels and describing the work carried out at the Center for Multisource Information Fusion (CMIF) at the State University of New York at Buffalo on the development of an adaptive fuzzy /spl alpha/-/spl beta/ target tracker. This paper discusses in detail, the /spl alpha/-/spl beta/-/spl gamma/ filter which is a sampled data target tracker, which can asymptotically track a constant acceleration target. The /spl alpha/-/spl beta/-/spl gamma/ filter is analyzed by determining the bounds on the /spl alpha/-/spl beta/-/spl gamma/ parameters for stability and for its noise filtering capability.

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Conference Record of Thirty-Second Asilomar Conference on Signals, Systems and Computers (Cat. No.98CH36284)

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