一种基于协方差控制的异步数据融合方法

An Approach of Asynchronous Data Fusion Based on Covariance Control

针对异步融合中心计算量大、实时性差的问题,基于估计协方差控制理论提出了一种多传感器异步数据融合算法.该算法在每步卡尔曼滤波的同时进行下一步的传感器选择,以最少的运算量得到较优的结果.通过计算机模拟仿真,证明了该算法的有效性及可行性.

In view of the heavier calculation burden and worse real-time of asynchronous fusion center, a multisensor asynchronous data fusion .algorithm based on estimate covariance control was proposed. According to the algorithm, when one step Kalman filter is done, the choice of the sensor for the next step is made at the same time. The purpose of this algorithm is to have preferable results with less calculations. The simulation results show the feasibility and its efficiency of the proposed algorithm.