多平台多传感器数据融合中的时间一致

Time-Consistency in Multi-Platform Multi-Sensor Data Fusion

解决多平台多传感器系统数据融合中传感器误差配准问题,首先要实现各传感器的时间一致,将关于同一目标的各传感器不同步的量测信息同步到同一基准时标下。将时间误差分为确定性和不确定性两种,分析了引起多传感器时间误差的原因,提出一种基于Kalman滤波的时间对准算法,有效解决了一定范围内不确定传输延迟引起的时间不一致问题。

Time-Consistency must be solved first when accounting for the sensor error alignment in multi-platform multi-sensor, namely synchronized different synchronous measurement about the same object into the same norm time criterion. In this paper,time error is divided into certainty and uncertainty, the reason about it is analyzed. A time-alignment arithmetic based on Kalmen filter is put forward,that can solve the time inconsistentness that is resulted from uncertain transform delayed in a certain range.