A Data Fusion Algorithm and Simulation Based on TQMM [chapter]

Ke Zhang, Zeyang Wang, Huiling Li
2019 Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering  
Asynchronous data fusion is more practical than synchronous data fusion, the model of track-to-track fusion in this case has been established and the concept of Track Quality with Multiple Model (TQMM) was put forward, furthermore a data fusion algorithm is proposed, in which the TQMM is used to assign weights, to improve tracking precision in asynchronous multi-sensor data fusion system. The simulation results show that the algorithm has a better tracking performance compared with original algorithms.
doi:10.1007/978-3-030-32216-8_20 fatcat:chzui26vrbgdnnr4qua6hdgf2q