一种对多传感器异步数据的融合处理方法

在传感器异步采样时刻情况下 ,对机动目标的跟踪滤波算法进行了探讨 ,基于细分时间片的方法 ,提出了一种将多传感器数据组合成类似于单传感器数据的异步数据处理方法 ,运用于目标点迹航迹的合成。通过对多传感器数据的利用 ,增大对目标观测的数据流数据率 ,来提高跟踪精度。仿真实验显示 ,各通道的均方根误差均相对减小 ,表明了算法的可行性。

A Method of Fusion Processing for the Asynchronous Data of Multi-Sensor

Under the condition that the sensor's sampling time is asynchronous, the tracking filter algorithm for the maneuvering target is discussed. Based on the subdivision of time, a processing method for the asynchronous data is presented which combine the multi-sensor data as the simple sensor data, and it has been used to the tracking association. The track precision in increased by use of the multi-sensor's data to augment the data stream and data rate of the observation data. The result of simulation implies that the algorithm is feasible, while the root-mean-square-error of every channel is reduced.