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Modified wavelet filtering algorithm applied to gyro servo technology for the improvement of test-precision 被引量:3

Modified wavelet filtering algorithm applied to gyro servo technology for the improvement of test-precision
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摘要 In order to improve the measurement-precision of the gyro,the gyro experiment is completed based on gyro servo technology.The error sources of gyro servo technology are analyzed in the process of measurement,and the impact of these error sources on measurement is evaluated.To eliminate interference signal existing in the sampled data of the measurement,a modified wavelet threshold filtering method is presented.The results of the simulation and measurement show that the estimation-precision of the proposed method is improvement remarkably compared with the fast Fourier transform method,and the calculation work is reduced compared with the conventional wavelet threshold filtering methods,furthermore,the phenomenon of a common threshold of "killing" is solved thoroughly. In order to improve the measurement-precision of the gyro,the gyro experiment is completed based on gyro servo technology.The error sources of gyro servo technology are analyzed in the process of measurement,and the impact of these error sources on measurement is evaluated.To eliminate interference signal existing in the sampled data of the measurement,a modified wavelet threshold filtering method is presented.The results of the simulation and measurement show that the estimation-precision of the proposed method is improvement remarkably compared with the fast Fourier transform method,and the calculation work is reduced compared with the conventional wavelet threshold filtering methods,furthermore,the phenomenon of a common threshold of "killing" is solved thoroughly.
出处 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2011年第3期488-492,共5页 系统工程与电子技术(英文版)
基金 supported by the National Basic Research Program of China (973 Program) (973-61334)
关键词 servo method error source threshold filtering killing. servo method error source threshold filtering killing.
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