• Electronics Optics & Control
  • Vol. 26, Issue 12, 88 (2019)
ZHOU Quan, YAO Minli, and SHEN Xiaowei
Author Affiliations
  • [in Chinese]
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    DOI: 10.3969/j.issn.1671-637x.2019.12.018 Cite this Article
    ZHOU Quan, YAO Minli, SHEN Xiaowei. An Information Fusion Algorithm of Gyro Array Based on Support Degree and Memory Weighting[J]. Electronics Optics & Control, 2019, 26(12): 88 Copy Citation Text show less

    Abstract

    The Micro Electronic Mechanical System (MEMS) inertial components have some shortcomings such as low accuracy and big noise.In order to improve the fusion accuracy of MEMS gyro array, a gyro array fusion algorithm is put forward based on the conventional algorithm of support degree fusion, which removes abnormal support points and uses limited memory information of time to carry out weighting for the fused data. The algorithm uses the weighted idea of spatio-temporal fusion of gyro array to optimize the traditional weight assignment of the support degree. Thus the stability and reliability of gyroscope array output are guaranteed, and the fusion result is closer to the true value of the output. The experimental result shows that the proposed fusion algorithm is superior to support degree fusion algorithm and the average-value estimation algorithm.
    ZHOU Quan, YAO Minli, SHEN Xiaowei. An Information Fusion Algorithm of Gyro Array Based on Support Degree and Memory Weighting[J]. Electronics Optics & Control, 2019, 26(12): 88
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