本文選題：陀螺儀 + 振動(dòng)　； 參考：《壓電與聲光》2017年06期

【摘要】：針對(duì)振動(dòng)環(huán)境下陀螺儀輸出信號(hào)噪聲干擾嚴(yán)重的問(wèn)題,提出了一種用隨機(jī)誤差項(xiàng)改進(jìn)小波閾值的去噪算法。通過(guò)對(duì)陀螺儀輸出信號(hào)進(jìn)行小波分解,根據(jù)頻率成分將信號(hào)分解為多層;然后,對(duì)分解在各層的信號(hào)進(jìn)行隨機(jī)誤差項(xiàng)辨識(shí),進(jìn)而利用隨機(jī)誤差項(xiàng)系數(shù)獲取各層的噪聲閾值;最后,利用獲取的閾值進(jìn)行小波去噪。改進(jìn)閾值的提出,旨在解決Donoho全局閾值中因閾值選取過(guò)大或過(guò)小而產(chǎn)生的噪聲誤判或噪聲殘留問(wèn)題,使噪聲去除更徹底。通過(guò)實(shí)驗(yàn)分析,證明了本算法既能有效去除信號(hào)噪聲,解決噪聲殘留的問(wèn)題;又能保留輸出的有效信號(hào),解決噪聲誤判的問(wèn)題。
[Abstract]:Aiming at the serious noise disturbance of gyroscope output signal in vibration environment, a denoising algorithm using random error term to improve wavelet threshold is proposed. The output signal of gyroscope is decomposed into multi-layers by wavelet decomposition according to the frequency component, then the random error term of the decomposed signal in each layer is identified, and the noise threshold of each layer is obtained by using the coefficient of random error term. Finally, wavelet denoising is carried out by using the obtained threshold. The purpose of the improved threshold is to solve the problem of noise misjudgment or noise residue in Donoho global threshold because the threshold is too large or too small, so that the noise can be removed more thoroughly. Through the experimental analysis, it is proved that the algorithm can not only effectively remove the signal noise, solve the problem of noise residue, but also retain the output effective signal, and solve the problem of noise misjudgment.
【作者單位】： 火箭軍工程大學(xué)慣性技術(shù)實(shí)驗(yàn)室;中國(guó)人民解放軍96401部隊(duì);
【基金】：國(guó)家自然科學(xué)基金資助項(xiàng)目(61503392)
【分類號(hào)】：TN911.7;TN96

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