基于状态相关模态切换混合估计的航迹预测

针对航空器飞行轨迹预测的随机线性混杂系统估计问题,提出一种状态相关模态切换的混合估计算法(SDTHE). 该算法不仅解决了标准交互式多模型(IMM)算法似然函数为零均值高斯函数假设的缺陷,而且基于实时状态更新模态转移矩阵,使得飞行模态估计更为准确,从而提高飞行轨迹预测的精度. 与标准交互式多模型算法相比,仿真结果表明了所提出算法的有效性和优越性.

Aircraft trajectory prediction based on SDTHE algorithm

In order to solve the stochastic hybrid system estimation problem in aircraft trajectory prediction, the state-dependent mode transition hybrid estimation (SDTHE) algorithm is proposed, in which the assumption of likelihood function being a zero mean Gaussian function is discarded. Furthermore, the mode transition matrix is updated based on real time continuous state in the proposed algorithm, through which the accuracy of mode estimation is improved and the precision of trajectory prediction is increased. Simulation results indicate the effectiveness and superiority of the proposed algorithm in comparison with the standard IMM algorithm.