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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 and 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 and 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。
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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

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