Tracking algorithm based on Iterated Reduced Square-Root Cubature Kalman Filter for hypersonic targets
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    Abstract:

    Based on the near space hypersonic targets, Iterated Reduced Square-Root Cubature Klaman Filter(IRSRCKF) is proposed. The algorithm takes SRCKF as the basic theory framework. Firstly, when the state equation of system is linear, the algorithm substitutes the SRCKF algorithm that needs to calculate cubature point. That simplifies the time update step and improves the real time performance. Then, combining iteration operation, the measurement is fully used by this algorithm to improve the tracking accuracy. Finally, simulation results show the accuracy and effectiveness of the algorithm. The algorithm is applied to track the near space hypersonic targets as a novel method.

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李志飞,周宏宇,张剑云,张正言,马 驹,韩 旭.基于IRSRCKF高超声速目标跟踪[J]. Journal of Terahertz Science and Electronic Information Technology ,2019,17(5):811~817

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History
  • Received:January 16,2018
  • Revised:March 14,2018
  • Adopted:
  • Online: November 04,2019
  • Published: