中文摘要：

异步多传感器偏差估计问题是数据融合系统中的常见问题。在已有算法中,由于忽略了伪量测方程中的加速度项,在高度机动目标条件下的偏差估计可能是有偏的,为此提出了一种针对高度机动目标的异步多传感器偏差估计算法。该算法在构造伪量测差分矢量时通过反求最适的伪量测同步时刻,可以建立无加速度项的伪量测方程,并通过Kalman滤波对系统偏差进行估计。仿真结果表明,在目标高度机动的情况下,该算法的估计精度优于已有的算法。

英文摘要：

Asynchronous multisensor bias estimation was a usual problem in the data fusion system.In the existed algorithms,the bias estimation was properly not unbiased for the highly maneuvering targets because of ignoring the acceleration item of the pseudomeasurement equation.This paper proposed a novel algorithm of asynchronous multisensor bias estimation for the highly maneuvering targets.The pseudomeasurement equation could be built without acceleration item by reversing the optimum synchronous time of the pseudomeasurement on defining the pseudomeasurement differential vector,and the bias estimation was implemented by Kalman filter.Simulation results show that the algorithm of this paper has higher estimation precision than the existed algorithms for the highly maneuvering targets.