一般化交互多模型卡尔曼过算法用于在非高斯噪音下操纵目标跟踪

Jie Wang1, Jiacheng He1, Bei Peng1

  • 1School of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China, PR China.

ISA transactions
|September 22, 2024
PubMed
概括

高斯混合模型卡尔曼波器 (GIMM-KF) 在非高斯噪声下增强了目标跟踪. 这种强大的算法提高了对机动目标的准确性和稳定性.

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