STATE ESTIMATION FOR TWO-LEVEL HYBRID MULTISENSOR DATA FUSION SYSTEMS

He You; Lu Dajin; Peng Yingning

Volume 21 Issue 5

Sep. 1999

Turn off MathJax

Article Contents

Article Navigation > Journal of Electronics & Information Technology > 1999 > 21(5): 698-701

He You, Lu Dajin, Peng Yingning. STATE ESTIMATION FOR TWO-LEVEL HYBRID MULTISENSOR DATA FUSION SYSTEMS[J]. Journal of Electronics & Information Technology, 1999, 21(5): 698-701.

Citation:

He You, Lu Dajin, Peng Yingning. STATE ESTIMATION FOR TWO-LEVEL HYBRID MULTISENSOR DATA FUSION SYSTEMS[J]. Journal of Electronics & Information Technology, 1999, 21(5): 698-701.

He You, Lu Dajin, Peng Yingning. STATE ESTIMATION FOR TWO-LEVEL HYBRID MULTISENSOR DATA FUSION SYSTEMS[J]. Journal of Electronics & Information Technology, 1999, 21(5): 698-701.

Citation:

He You, Lu Dajin, Peng Yingning. STATE ESTIMATION FOR TWO-LEVEL HYBRID MULTISENSOR DATA FUSION SYSTEMS[J]. Journal of Electronics & Information Technology, 1999, 21(5): 698-701.

PDF( 752 KB)

STATE ESTIMATION FOR TWO-LEVEL HYBRID MULTISENSOR DATA FUSION SYSTEMS

He You^{①;陆大（纟金）},
Lu Dajin,
Peng Yingning

Received Date: 1998-02-23
Rev Recd Date: 1998-11-16
Publish Date: 1999-09-19

Abstract

Abstract

This paper presnets a globall optimal composite filtering solution for a two-level hybrid multisensor system.It is shown that the fusion center first neeeds to fuse the local estimates from the L sensors,and then to update recursively the fused track by using a Kalman filter based on the observations of the other N-L sensors.Thsi paper also considers the estimation problems based on the different Cartesian coordinates.

FullText(HTML)

References(1)

References

Llinas J, Waltz E. Multisensor Data Fusion. Norwood, Massachusetts: Artech House, 1990, Chapter 6. [2] Hall D H. Mathematical Techniques in Multisensor Data Fusion. Boston: Artech House, 1992: 251-290.[2]何友, 彭应宁, 陆大Jin，高志永. 多传感器数据融合中两种新的航迹相关算法. 电子学报,1997, 25(9): 10-15.[3]何友, 彭应宁, 陆大Jin, 高志永. 分布式多传感器融合系统中两种新的航迹相关算法. 电子科学学刊, 1997, 19(6): 271-278.[4][5」孙红岩, 毛士艺, 林品兴. 多传感器数据分层融合的性质.电子学报, 1996, 24(6): 55-61.[5]周一宇. 分布估计及其在跟踪系统中的应用. 系统工程与电子技术, 1996, 15(6): 55-61.[6]崔宁周, 谢维信, 余雄南. 多传感器多目标分布跟踪中数据关联的快速算法.电子学报, 1996, 24(6): 62-66.[7]Bar-Shalom Y, Fortmann T E. Tracking and Data Association. New York: Academic Press, INC., 1988: 266-272.[9] Alovani A T, Rice T R, Helmick R E. On Sensor Track Fusion. Proceedings of the American Control Conference, Baltimore, Maryland: 1994, 1042-1046.[8][10」何友. 多目标多传感器分布信息融合算法:[博士论文]. 北京: 清华大学, 1996, 11.

Relative Articles

Supplements(0)

Cited By

Proportional views