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

LIANG Guolong; ZHAO Tianbai; ZOU Nan; ZHANG Boxuan

doi:10.11999/JEIT170727

Volume 40 Issue 5

May 2018

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Article Navigation > Journal of Electronics & Information Technology > 2018 > 40(5): 1181-1186

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

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

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

doi: 10.11999/JEIT170727

1.
(Key Laboratory of Underwater Acoustic Technology, Harbin Engineering University, Harbin 150001, China)
2.
(The 54th Research Institute of CETC, Shijiazhuang 050081, China)
3.
(Key Laboratory of Underwater Acoustic Technology, Harbin Engineering University, Harbin 150001, China)

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)

Received Date: 2017-07-19
Rev Recd Date: 2017-12-27
Publish Date: 2018-05-19

Abstract

Abstract

In order to exploit the development potential of current measurement and control equipment and to build an omnibus underwater measurement and control network with higher precision, according to the working characteristics of the system itself, an underwater measurement and control network centralized data fusion localization algorithm based on Chan-algorithm method is proposed. It is an algorithm that coarsely calculates the target position according to the time of arrival by using the Weighted Least Squares (WLS) estimation method at first; secondly, it constructs new error vectors on the basis of the relationship between the position and the time delay information; last, the target position is resolved from the vectors by using WLS method again. The result of research demonstrates that the algorithm realizes the data fusion of multiple sets of underwater measurement and control equipment, which could improve the precision of localization globally. And the precision of the proposed method is much better than the data fusion localization algorithm purely based on the time of arrival.
- Underwater localization,
- Chan-algorithm,
- Data fusion,
- Localization precision

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References(32)

References

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.

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