Application of multi-sensors parallel fusion system in photoelectric tracing

被引:0
|
作者
Cheng Guo-ying [1 ]
Cai Sheng [1 ]
Gao Hui-bin [1 ]
Zhang Shu-mei [1 ]
Qiao Yan-feng [1 ]
机构
[1] Chinese Acad Sci, Changchun Inst Opt Fine Mech & Phys, Changchun 130033, Jilin, Peoples R China
关键词
real-time; data fusion; prediction filtering; parallel calculation;
D O I
10.1117/12.806946
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
To solve the real-time and reliability problem of tracking servo-control system in optoelectronic theodolite, a multi-sensors parallel processing system was proposed. Misdistances of three different wavebands were imported into system, and then prediction was done in DSP1 to get the actual position information. Data fusion was accomplished in PPGA imported by multi channel buffer serial port. The compound position information was used to control the theodolite. The results were compared with external guide data in DSP2 to implement correction of above calculation, and then were imported to epistemic machine through PXI interface. The simulation experiment of each calculation unit showed that this system could solve the real-time problem of feature level data fusion. The simulation result showed that the system can satisfy the real-time requirement with 1.25ms in theodolite with three imaging systems, while sampling frequency of photoelectric encoder was 800 Hz.
引用
收藏
页数:7
相关论文
共 50 条
  • [1] The application of multi-sensors fusion in vehicle transmission system fault diagnosis
    Wu, Xiaobing
    Liu, Shuangzhe
    Sharma, Dharmendra
    ICNC 2007: THIRD INTERNATIONAL CONFERENCE ON NATURAL COMPUTATION, VOL 2, PROCEEDINGS, 2007, : 728 - +
  • [2] Application of Multi-Sensors Information Fusion Technology to a Integrated Navigation System
    Yang Changsong
    Xu Xiaosu
    Zhang Zijia
    Wang Qi
    PROCEEDINGS OF 2009 CONFERENCE ON COMMUNICATION FACULTY, 2009, : 257 - +
  • [3] A Weighted Fusion Algorithm for Multi-Sensors
    Zhang, Deyu
    Liu, Jielin
    Lv, Yanhui
    Wei, Xiurong
    PROCEEDINGS OF 2016 SIXTH INTERNATIONAL CONFERENCE ON INSTRUMENTATION & MEASUREMENT, COMPUTER, COMMUNICATION AND CONTROL (IMCCC 2016), 2016, : 808 - 811
  • [4] UNCERTAINTIES QUANTIFICATION CRITERIA FOR MULTI-SENSORS FUSION: APPLICATION TO VEHICLES LOCALISATION
    Izri, Sonia
    Brassart, Eric
    2008 MEDITERRANEAN CONFERENCE ON CONTROL AUTOMATION, VOLS 1-4, 2008, : 1222 - 1227
  • [5] Development of multi-sensors fusion monitoring system for shaft wall deformation
    Zhu, Xiaojun
    Chen, Yaxin
    Zhang, Pengfei
    Liu, Hui
    Yang, Gen
    Li, Junxiu
    Qiu, Mingjian
    MEASUREMENT SCIENCE AND TECHNOLOGY, 2024, 35 (08)
  • [6] Method of fusion for multi-sensors data in statistic
    Wan Shuping
    Proceedings of the First International Symposium on Test Automation & Instrumentation, Vols 1 - 3, 2006, : 430 - 432
  • [7] Method of clustering fusion for multi-sensors data
    Wan, Shu-Ping
    Xitong Gongcheng Lilun yu Shijian/System Engineering Theory and Practice, 2008, 28 (05): : 131 - 135
  • [8] Research on the Multi-Sensors Fusion System in Warships Chemical Detection Field
    Zhang, Minghu
    Wang, Dehu
    Lv, Shijun
    Song, Jian
    Huang, Yi
    SENSOR LETTERS, 2011, 9 (05) : 2104 - 2108
  • [9] Application of multi-sensors information fusion used in ball mill load measuring
    Wang, Jingcheng
    Si, Gangquan
    Cao, Hui
    Zhang, Yanbin
    Yi Qi Yi Biao Xue Bao/Chinese Journal of Scientific Instrument, 2007, 28 (SUPPL. 3): : 88 - 92
  • [10] Simulating model of multi-sensors system
    Na, C
    MODELING, SIMULATION, AND VISUALIZATION FOR REAL AND VIRTUAL ENVIRONMENTS, 1999, 3694 : 190 - 193