数据融合理论、快速算法及其在船舶动力定位中的应用研究

项目名称： 数据融合理论、快速算法及其在船舶动力定位中的应用研究

项目编号： No.61473331

项目类型： 面上项目

立项/批准年度： 2015

项目学科： 自动化技术、计算机技术

项目作者： 熊建斌

作者单位： 广东技术师范大学

项目金额： 62万元

中文摘要： 针对船舶动力定位多传感器在风、浪、流等干扰环境下，多传感器信号难收敛、难稳定，导致船舶动力定位精确度不高，本项目提出基于多传感器信号关联分析的数据融合方法，并系统地研究其统计特性、快速算法以及应用前景。理论方面：以多元高斯分布以及混合多元高斯分布为数学模型，以德尔塔方法为基本分析方法，以四元高斯分布正定限积分降维公式为辅助手段，推导所提出的在给定相关系数矩阵下均值和方差的渐近表达式，并推导肯德尔和谐系数及平均肯德尔秩次相关系数在多元高斯模下方差的精确表达式。算法方面：快速收敛、稳定为切入点，基于多感器数据融合理论以及快速收敛、稳定，构建快速算法，将算法时间复杂度从与通道数成平方关系降低与通道数成线性关系。应用方面：将多传感器数据融合的新理论、新方法应用于船舶动力定位多传感器多通道失常信号、异构传感器信号以及全组联数据的关联分析，提高船舶动力定位的精确度，并验证研究成果的可适用性和可扩展性。

中文关键词： 多传感器；信息融合算法；关联算法；船舶动力定位；时空相关性

英文摘要： The project proposes novel intelligent data fusion methods and efficient algorithm which are used in the ship dynamic positioning to solve the problem that the precision of ship dynamic positioning is not high because the multi-sensor signal is difficult to reach the convergence and steady state in the situation of interference such as wind, wave and ocean current. Theory: taking the multivariate gaussian distribution and mixing multivariate gaussian distribution for the mathematical model, using the delta method as the basic analysis method, and Four yuan gaussian distribution positive definite integral formula for dimension reduction as auxiliary means, derived the asymptotic expressions mean and variance proposed under the given correlation coefficient matrix, and derived the variance exact expression of Kendall coefficient of concordance and Kendall rank correlation coefficient under the multivariate Gaussian model.Algorithms: fast convergence, and stability as a entry point, build a fast algorithm based on multi-sensor data fusion theory, fast convergence and stability, reduce the relationship between the time complexity of the algorithm and the channel number from square to linear.Applications: the new theory and new method of multi-sensor data fusion is applied to the multi-channel disorders signal of marine dynamic positioning multiple sensors, heterogeneous sensor signal and the whole group of associated data analysis, improve marine dynamic positioning accuracy, and verify the applicability and the scalability of study result.

英文关键词： Multi-sensor;Information fusion algorithm;correlation algorithm;ship dynamic positioning;correlation between time and space