基于Chan算法的水下测控设备组网数据融合技术研究

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

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。

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.