高级搜索

留言板

尊敬的读者、作者、审稿人, 关于本刊的投稿、审稿、编辑和出版的任何问题, 您可以本页添加留言。我们将尽快给您答复。谢谢您的支持!

姓名
邮箱
手机号码
标题
留言内容
验证码

基于Chan算法的水下测控设备组网数据融合技术研究

梁国龙 赵天白 邹男 张博轩

梁国龙, 赵天白, 邹男, 张博轩. 基于Chan算法的水下测控设备组网数据融合技术研究[J]. 电子与信息学报, 2018, 40(5): 1181-1186. doi: 10.11999/JEIT170727
引用本文: 梁国龙, 赵天白, 邹男, 张博轩. 基于Chan算法的水下测控设备组网数据融合技术研究[J]. 电子与信息学报, 2018, 40(5): 1181-1186. doi: 10.11999/JEIT170727
LIANG Guolong, ZHAO Tianbai, ZOU Nan, ZHANG Boxuan. An Underwater Measurement and Control Network Centralized Data Fusion Localization Algorithm Based on Chan-algorithm[J]. Journal of Electronics & Information Technology, 2018, 40(5): 1181-1186. doi: 10.11999/JEIT170727
Citation: LIANG Guolong, ZHAO Tianbai, ZOU Nan, ZHANG Boxuan. An Underwater Measurement and Control Network Centralized Data Fusion Localization Algorithm Based on Chan-algorithm[J]. Journal of Electronics & Information Technology, 2018, 40(5): 1181-1186. doi: 10.11999/JEIT170727

基于Chan算法的水下测控设备组网数据融合技术研究

doi: 10.11999/JEIT170727
基金项目: 

国家自然科学基金(11504064),技术基础科研项目(JSJL2016604B003),青岛海洋科学与技术国家实验室开放基金(QNLM2016ORP0102)

An Underwater Measurement and Control Network Centralized Data Fusion Localization Algorithm Based on Chan-algorithm

Funds: 

The National Natural Science Foundation of China (11504064), The Technical Basic Research Projects (JSJL 2016604B003), The Qingdao Marine Science and Technology National Laboratory Open Foundation (QNLM2016ORP0102)

  • 摘要: 依据水下测控设备组网系统的工作特点,为了有效挖掘现有测控设备的使用效能,构建高精度的综合性水下测控网络,该文提出基于Chan算法的水下测控设备组网集中式数据融合定位算法。该算法首先利用基于波达时间的加权最小二乘算法粗测目标位置,然后依据该目标位置和测量时延信息的关系,构造新的误差矢量,利用该误差矢量再次加权最小二乘估计解算目标位置。研究结果表明,该算法可实现多套水下测控设备的数据融合,可有效提高全域范围的定位精度,且精度高于纯基于波达时间的融合定位算法。
  • HE You, WANG Guohong, and GUAN Xin. Information Fusion Theory and Application[M]. BeiJing: Electronic Industry Press, 2010: 20-55.
    何友, 王国宏, 关欣. 信息融合理论及应用[M]. 北京: 电子工业出版社, 2010: 20-55.
    黄漫国, 樊尚春, 郑德智, 等. 多传感器数据融合技术研究进展[J]. 传感器与微系统, 2010, 29(3): 5-8.
    HUANG Manguo, FAN Shangchun, ZHENG Dezhi, et al. Research progress of multi-sensor data fusion technology[J]. Transducer and Microsystem Technologies, 2010, 29(3): 5-8.
    孟小峰, 杜治娟. 大数据融合研究: 问题与挑战[J]. 计算机研究与发展, 2016, 53(2): 231-246. doi: 10.7544/issn1000-1239. 2016.20150874.
    MENG Xiaofeng and DU Zhijuan. Research on the big data fusion: Issues and challenges[J]. Journal of Computer Research and Development, 2016, 53(2): 231-246. doi: 10.7544/issn1000-1239.2016.20150874.
    XU Chen, ZHU Yanqiao, LI Fuhai, et al. A novel geodesic distance based clustering approach to delineating boundaries of touching cells[C]. The Tenth International Symposium on Neural Networks, Dalian, 2013: 315-322.
    CHENG M M, MITRA N J, HUANG X L, et al. Global contrast based salient region detection[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2015, 37(3): 569-582. doi: 10.1109/TPAMI.2014.2345401.
    WU Wei, WANG Jian, CHENG Mingsong, et al. Convergence analysis of online gradient method for BP neural networks[J]. Neural Networks, 2011, 24(1): 91-98.
    张小凤, 张光斌. 双/多基地声呐系统[M]. 北京: 科学出版社, 2014: 67-79.
    ZHANG Xiaofeng and ZHANG Guangbin. Bimultistatic sonar system[M]. Beijing: Science Press, 2014: 67-79.
    LIU Yang, GUO Fucheng, YANG Le, et al. Source localization using a moving receiver and noisy TOA measurements[J]. Signal Processing, 2016, 119(1): 185-189. doi: 10.1016/j.sigpro.2015.07.029.
    刘若辰, 王英民, 甘甜. 基于线性最小二乘方法的多基地声呐定位算法[J]. 电声技术, 2011, 35(6): 56-60.
    LIU Ruochen, WANG Yingmin, and GAN Tian. Space location algorithm for multistatic sonar based on linear least squares method[J]. Audio Engineering, 2011, 35(6): 56-60.
    李涛, 屈也频, 梅风华. 基于总体最小二乘的多基地声纳系统定位算法[J]. 探测与控制学报, 2015, 37(3): 82-85.
    LI Tao, QU Yepin, and MEI Fenghua. Multistatic sonar space location algorithm based on total least squares method[J]. Journal of Detection Control, 2015, 37(3): 82-85.
    HAYKIN Simon著, 郑宝玉译. 自适应滤波器原理[M]. 北京:电子工业出版社, 2016: 249-395.
    HAYKIN Simon. Principle of Adaptive Filter[M]. Beijing: Electronic Industry Press, 2016: 249-395.
    VAGHEFI R, GHOLAMI M, BUEHRER R, et al. Cooperative received signal strength-based sensor localization with unknown transmit powers[J]. IEEE Transactions on Signal Processing, 2013, 61(6): 1389-1403.
    CORALUPPI S. Multistatic sonar localization[J]. IEEE Journal of Oceanic Engineering, 2006, 31(4): 964-974.
    王建刚, 王福豹, 段渭军. 加权最小二乘估计在无线传感器网络定位中的应用[J]. 计算机应用研究, 2006(9): 41-43.
    WANG Jiangang, WANG Fubao, and DUAN weijun. application of weighted least square estimates on wireless sensor network node localization[J]. Application Research of Computers, 2006(9): 41-43.
    SERGEY S. Localization in airborne multistatic sonars[J]. IEEE Journal of Oceanic Engineering, 2008, 33(3): 278-288.
    张杰, 蒋建中, 郭军利. 基于约束加权最小二乘的多站无源定位[J]. 信号处理, 2015, 31(1): 119-126.
    ZHANG Jie, JIANG Jianzhong, and GUO Junli. Multi-station passive localization based on CWLS algorithm[J]. Journal of Signal Processing, 2015, 31(1): 119-126.
    丁振良. 误差理论与数据处理[M]. 哈尔滨: 哈尔滨工业大学出版社, 2015: 97-133.
    DING Zhenliang. Error Theory and Data Processing[M]. Harbin: Harbin Institute of Technology Press, 2015: 97-133.
    CHAN Y T and HO K C. A simple and efficient estimator for hyperbolic location[J]. IEEE Transactions on Signal Processing, 1994, 42(8): 1905-1915.
    杨瑜婷. 浮标基长基线定位系统显控软件设计[D]. [硕士论文], 哈尔滨工程大学, 2016.
    YANG Yuting. The design of acoustic buoy communication platform based on long base line[D]. [Master dissertation], Harbin Engineering University, 2016.
    付进. 长基线定位信号处理若干关键技术研究[D]. [博士论文], 哈尔滨工程大学, 2007.
    FU Jin. Research on several key techniques of the signal processing for long baseline location[D]. [Ph.D. dissertation], Harbin Engineering University, 2007.
  • 加载中
计量
  • 文章访问数:  1135
  • HTML全文浏览量:  177
  • PDF下载量:  130
  • 被引次数: 0
出版历程
  • 收稿日期:  2017-07-19
  • 修回日期:  2017-12-27
  • 刊出日期:  2018-05-19

目录

    /

    返回文章
    返回