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.
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.
LIANG Guolong, ZHAO Tianbai, ZOU Nan, ZHANG Boxuan. An Underwater Measurement and Control Network Centralized Data Fusion Localization Algorithm Based on Chan-algorithm. JEIT, 2018, 40(5): 1181-1186.
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