A genetic algorithm for selection of noisy sensor data in multisensor data fusion

被引：0
|
作者：
Khan, AA
Zohdy, MA
机构：
来源：
PROCEEDINGS OF THE 1997 AMERICAN CONTROL CONFERENCE, VOLS 1-6 | 1997年
关键词：
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Irrespective of the specifics of a given application, multisensor data fusion problem is mainly composed of three sub-problems: Selection, Fusion and Estimation. Sensor measurements inherently incorporate varying degrees of uncertainty and are, occasionally, spurious and incorrect. This, coupled with the practical reality of occasional sensor failure greatly compromises reliability and reduces confidence in sensor measurements. In order to avoid any false interfaces, we need data pre-processing methods to make sure that the data to be merged is consistent. Selection of noisy sensor data is a preprocessing of data before merging and is referred to as choosing a representative subset of the sensors that are consistent. in this paper, we use genetic search and optimization approach to develop a genetic algorithm for qualifying the data.
引用
收藏
页码：2256 / 2262
页数：7
相关论文
共 50 条
  • [21] Optimal sensor data linear compression in multisensor estimation fusion
    Zhu, YM
    Song, EB
    Zhou, J
    You, ZS
    42ND IEEE CONFERENCE ON DECISION AND CONTROL, VOLS 1-6, PROCEEDINGS, 2003, : 5807 - 5812
  • [22] Distributed sensor networks for multisensor data fusion in intelligent maintenance
    Wang, X
    Jiang, AG
    Wang, S
    PROCEEDINGS OF THE THIRD INTERNATIONAL SYMPOSIUM ON INSTRUMENTATION SCIENCE AND TECHNOLOGY, VOL 1, 2004, : 587 - 592
  • [23] The multisensor data fusion parallel algorithm based on Kalman filtering
    Guo, Q
    Yu, SN
    2004 3RD INTERNATIONAL CONFERENCE ON COMPUTATIONAL ELECTROMAGNETICS AND ITS APPLICATIONS, PROCEEDINGS, 2004, : 573 - 576
  • [24] Multisensor Data Fusion with Disparate Data Sources
    Minor, Christian P.
    Hammond, Mark H.
    Johnson, Kevin J.
    Rose-Pehrsson, Susan L.
    MULTISENSOR, MULTISOURCE INFORMATION FUSION: ARCHITECTURES, ALGORITHMS, AND APPLICATIONS 2010, 2010, 7710
  • [25] On the sequential track correlation algorithm in a multisensor data fusion system
    Bar-Shalom, Y.
    IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS, 2008, 44 (01) : 396 - 396
  • [26] A new radar - ESM correlation algorithm in multisensor data fusion
    Wang, GH
    He, Y
    Shen, N
    Lu, DJ
    Yan, HX
    ICR '96 - 1996 CIE INTERNATIONAL CONFERENCE OF RADAR, PROCEEDINGS, 1996, : 747 - 750
  • [27] Approaches to multisensor data fusion
    Peri, Joseph S.J.
    Johns Hopkins APL Technical Digest (Applied Physics Laboratory), 2001, 22 (04): : 624 - 633
  • [28] Asynchronous multisensor data fusion
    Signal and Information Research Center, Dalian Naval Academy, Dalian 116018, China
    Dianzi Yu Xinxi Xuebao, 2006, 9 (1546-1549):
  • [29] An introduction to multisensor data fusion
    Hall, DL
    Llinas, J
    PROCEEDINGS OF THE IEEE, 1997, 85 (01) : 6 - 23
  • [30] Approaches to multisensor data fusion
    Peri, JSJ
    JOHNS HOPKINS APL TECHNICAL DIGEST, 2001, 22 (04): : 624 - 633
12345