Highly maneuvering target tracking using multi-parameter fusion singer model
Research Institute of Information Fusion, Naval Aeronautical and Astronautical University, Yantai 264001, China, Shuyi Jia, Yun Zhang, Guohong Wang, Department of Aircraft Engineering, Naval Aeronautical and Astronautical University, Yantai 264001, China · Journal of Systems Engineering and Electronics · 2017
An algorithm of highly maneuvering target tracking is proposed to solve the problem of large tracking error caused by strong maneuver. In this algorithm, a new estimator, named as multi-parameter fusion Singer (MF-Singer) model is derived based on the Singer model and the fuzzy reasoning method by using radial acceleration and velocity of the target, and applied to the problem of maneuvering target tracking in strong maneuvering environment and operating environment. The tracking performance of the MF-Singer model is evaluated and compared with other manuevering tracking models. It is shown that the MF-Singer model outperforms these algorithms in several examples.