Improved Angle Data Fusion Method for Multimode Compound Seeker
作者： Dedong Cui , Qiang Luo , Xuan He , Chao Liang , Puhua Chen
DOI: 10.1016/J.IJLEO.2021.167066
关键词: Mean squared error 、 Sensor fusion 、 Probability distribution 、 Azimuth 、 Algorithm 、 Mode (statistics) 、 Degree (angle) 、 Matrix (mathematics) 、 Mathematics 、 Least squares
摘要: Abstract Multimode compound guidance is the important research direction of future intelligent ammunition development. For fusion seeker’s pitch and azimuth deviations in laser, millimeter wave, infrared three-mode guidance, a grey relational belief degree least squares method proposed this study. Angle measurement models are firstly constructed for three modes. Grey degrees among data different modes calculated to construct matrix. And then, matrix used as probability distribution between The each mode real time according evidence theory process. Finally, result based on obtained. In simulation experiments, compared with weighted square method, approach study achieves lower root mean error.
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