| Citation: | WANG Jundi, XU Yunshan, PENG Fang, et al. Optimization algorithm of infrared cooperative location based on ridge regression[J]. Journal of Beijing University of Aeronautics and Astronautics, 2020, 46(3): 563-570. doi: 10.13700/j.bh.1001-5965.2019.0238(in Chinese)
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Aimed at the problem that the infrared sensor has a large error, in this paper, based on the combination of spherical coordinates and Cartesian coordinates, a mathematical model of cooperative location is established, and the reason for the large positioning error when the distance between the two machines is close is obtained by analyzing the mathematical model. Then, the ridge regression algorithm is used to solve the target position estimation value and the positioning error covariance matrix of the two sets of measurement subsets with higher positioning accuracy. Finally, the two sets of measurement subsets are fused and positioned by the weighted least squares algorithm to derive the cooperative location optimization algorithm. The simulation analysis shows that the proposed algorithm can significantly improve the positioning accuracy in the whole detection area, and can maintain high positioning accuracy when the two machines are close.
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