Hu Kai-Yu, Wang Jiaming, Cheng Yuqing, Yang Chunxia
The 304 Institute, China Aerospace Science and Industry Corporation, Beijing, 100074, People's Republic of China.
Center for Applied Mathematics, China Aerospace Science and Industry Corporation, Beijing, 100074, People's Republic of China.
Sci Rep. 2023 Aug 10;13(1):12993. doi: 10.1038/s41598-023-39075-9.
For maneuvering target tracking, a novel adaptive variable structure interactive multiple model filtering and smoothing (AVSIMMFS) algorithm is proposed in this paper. Firstly, an accurate model of the variable structure interactive multiple model algorithm is established. Secondly, by constructing a new model subset based on the original model subsets, the matching accuracy between the model subset and the actual maneuvering mode of the target is improved. Then, the AVSIMMFS algorithm is obtained by smoothing the filtered data of the new model subset. Because of the combination of forward filtering and backward smoothing, the target tracking accuracy is further improved. Finally, in order to verify the effectiveness of the algorithm, the simulation is carried out on two cases. The simulation results show that the tracking performance of AVSIMMFS algorithm is better than other methods and has lower calculation cost.
针对机动目标跟踪问题,本文提出了一种新颖的自适应变结构交互式多模型滤波与平滑(AVSIMMFS)算法。首先,建立了变结构交互式多模型算法的精确模型。其次,通过在原始模型子集的基础上构建新的模型子集,提高了模型子集与目标实际机动模式之间的匹配精度。然后,对新模型子集的滤波数据进行平滑处理得到AVSIMMFS算法。由于前向滤波和后向平滑相结合,进一步提高了目标跟踪精度。最后,为验证算法的有效性,对两种情况进行了仿真。仿真结果表明,AVSIMMFS算法的跟踪性能优于其他方法,且计算成本较低。