Asynchronous multi-sensor bias estimation for highly maneuvering targets
高度机动目标的异步多传感器偏差估计算法*

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.