An estimator for multi-sensor data fusion

被引:0
|
作者
Thejaswi, C. [1 ]
Ganapathy, V. [1 ]
Patro, R. K. [1 ]
Raina, M. [1 ]
Ghosh, S. K. [1 ]
机构
[1] Honeywell Technol Solut Lab, R&T Grp, 151-1 Doraisanipalya,Bannerghatta Rd, Bangalore, Karnataka, India
关键词
D O I
10.1109/ICSMC.2006.385270
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this paper, we examine binary hypothesis testing and parameter estimation problem in a sensor network. We address the problem of detection and also the estimation of the underlying parameter at the fusion center by optimally combining the test statistics sent by different sensors. We make no assumptions on the noise statistics at the sensor nodes except that their first and second order statistics are known. We show that the proposed method is optimal as an estimator as well as a detector.
引用
收藏
页码:2690 / +
页数:2
相关论文
共 50 条
  • [21] Tracking filter and multi-sensor data fusion
    G. Girija
    J. R. Raol
    R. Appavu raj
    Sudesh Kashyap
    Sadhana, 2000, 25 : 159 - 167
  • [22] Efficient data fusion for multi-sensor management
    Hernandez, ML
    2001 IEEE AEROSPACE CONFERENCE PROCEEDINGS, VOLS 1-7, 2001, : 2161 - 2169
  • [23] The algorithm of CFNN image data fusion in multi-sensor data fusion
    Zeng, Xiaohong
    Sensors and Transducers, 2014, 166 (03): : 197 - 202
  • [24] Multi-Sensor Data Fusion for MEMS Gyroscope of Seeker
    Ren, Yafei
    Ge, Yunwang
    Bai, Xucan
    ADVANCED MECHANICAL DESIGN, PTS 1-3, 2012, 479-481 : 467 - 470
  • [25] Multi-sensor Data Fusion for Object Rotation Estimation
    Napieralski, Jan Andrzej
    Tylman, Wojciech
    PROCEEDINGS OF THE 25TH INTERNATIONAL CONFERENCE MIXED DESIGN OF INTEGRATED CIRCUITS AND SYSTEM (MIXDES 2018), 2018, : 454 - 459
  • [26] Multi-sensor data fusion for accurate surface modeling
    Mahesh K. Singh
    Ashish Dutta
    K. S. Venkatesh
    Soft Computing, 2020, 24 : 14449 - 14462
  • [27] Exploring Key Technologies of Multi-Sensor Data Fusion
    Wang, Li
    Guo, Hongxia
    Proceedings of the 2016 4th International Conference on Machinery, Materials and Information Technology Applications, 2016, 71 : 64 - 67
  • [28] Multi-Sensor Data Fusion across Time and Space
    Villeneuve, Pierre V.
    Beaven, Scott G.
    Reed, Robert
    ALGORITHMS AND TECHNOLOGIES FOR MULTISPECTRAL, HYPERSPECTRAL, AND ULTRASPECTRAL IMAGERY XX, 2014, 9088
  • [29] Kodak multi-sensor IMINT fusion data collection
    Mirzaoff, AD
    Vogler, SG
    Coss, J
    PROCEEDINGS OF THE FIFTH INTERNATIONAL CONFERENCE ON INFORMATION FUSION, VOL II, 2002, : 792 - 797
  • [30] Target Tracking System for Multi-sensor Data Fusion
    Ma, Ke
    Zhang, Hanguang
    Wang, Rentao
    Zhang, Zhimin
    PROCEEDINGS OF 2017 IEEE 2ND INFORMATION TECHNOLOGY, NETWORKING, ELECTRONIC AND AUTOMATION CONTROL CONFERENCE (ITNEC), 2017, : 1768 - 1772