Hypersonic Vehicle Tracking based on Improved Current Statistical Model

نویسندگان

  • He Guangjun
  • Lv Hang
  • Li Baoquan
  • Li Yanbin
چکیده

A new method of tracking the near space hypersonic vehicle is put forward. According to hypersonic vehicles’ characteristics, we improved current statistical model through online identification of the maneuvering frequency. A Monte Carlo simulation is used to analyze the performance of the method. The results show that the improved method exhibits very good tracking performance in comparison with the old method.

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تاریخ انتشار 2013