一种适用于机载数据融合的改进时间对准算法

An Improved Time Alignment Algorithm Applicable for Airborne Multi-Sensor Data Fusion

对机载多传感器数据融合的时间对准算法进行了研究,对时间不同步导致的对准误差进行了理论分析。在此基础上,为提高内插外推的精度,对数据时间差异很大的时间对准问题提出了一种改进的分段线性插值算法。对红蓝对抗场景下的数据链与机载火控雷达的数据融合处理进行了仿真分析,仿真结果表明该算法对机载多源数据融合处理具有良好的适应性。

This paper focuses on time alignment algorithms in airborne multi-sensor data fusion, and theoretical analysis is made to the alignment error caused by non-synchronization of time.On this basis, in order to improve the accuracy of interpolation and extrapolation algorithm, an improved subsection linear interpolation algorithm is proposed to solve the time alignment problem, of which the data obtained from different sensors has big differences on time.Simulation analysis is made to the data fusion processing between airborne data link and fire-control radar in confrontation between two sides.The simulation results show that the proposed algorithm has fine applicability to the processing of airborne multi-sensor data fusion.