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Virtual outlier noise reduction method of micro-inertial device signals

An inertial device and signal technology, applied in the field of signal processing and signal noise reduction

Inactive Publication Date: 2010-10-27
HARBIN ENG UNIV
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Problems solved by technology

After searching the literature, there is no public report on the method of denoising MEMS (micro-inertial device) signals using virtual outliers in the wavelet domain

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  • Virtual outlier noise reduction method of micro-inertial device signals
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  • Virtual outlier noise reduction method of micro-inertial device signals

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Embodiment Construction

[0043] The present invention is described in more detail below in conjunction with accompanying drawing example:

[0044] combine figure 1 . The implementation process of the virtual outlier wavelet denoising method can be described as the following process:

[0045] (1) For the continuous noise-containing signal, the fixed-length data volume is intercepted. In this method, 256 points of data are intercepted, and the intercepted data segment is recorded as sequence A, and the wavelet used is set to be db4 wavelet, and the number of decomposition layers is 5;

[0046] (2) Carry out symmetric continuation on the sequence A, and use the db4 wavelet to complete a Mallat wavelet decomposition, and decompose it into a scaling function and a wavelet function;

[0047] (3) Take the average value of the decomposed wavelet function of sequence A, and use the variance empirical formula to calculate the sequence variance, the formula is: σ A =mean(A) / 0.6745;

[0048] (4) The wavelet f...

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Abstract

The invention provides a virtual outlier noise reduction method of micro-inertial device signals, which comprises the following steps: (1) for continuous signals with noise, intercepting fixed-length data quantity to be recorded as a sequence A; (2) carrying out symmetric extension on the sequence A to finish wavelet decomposition; (3) averaging wavelet functions after sequence decomposition, and computing signal variance; (4) computing the outlier, and eliminating a threshold; (5) carrying out noise reduction treatment on the wavelet functions by utilizing the computed threshold T; (6) repeating step (2) to step (5) until the number of the decomposed layers reaches the set value; (7) finishing reconstruction of the signals by utilizing the treated wavelet functions, and realizing noise reduction treatment on the signals at the intercepted section; and (8) repeating step (1) to step (7) to realize continuous noise reduction of the signals. When filtering the measured signals of a micro-mechanical gyroscope with the outlier and noise by aopting the method of the invention, oscillation near an outlier point is reduced, and a signal-to-noise ratio which is higher than that acquired by the universal threshold noise reduction method can be acquired.

Description

technical field [0001] The invention relates to a signal processing method. Specifically, a method of reducing signal noise. Background technique [0002] Micro-inertial devices are a kind of inertial measurement components that have developed rapidly in recent years. Compared with traditional inertial measurement components, they have the advantages of small size, light weight, and low cost. Micromachined gyroscopes and micromachined accelerometers are both mechanical devices implemented on tiny structures, so they are easily affected by factors such as external temperature. When the inertial device constitutes a micro-inertial measurement unit for attitude measurement, the influence of signal noise will cause huge fluctuations in the attitude measurement of the carrier. Therefore, filtering must be performed before attitude calculation. The present invention is designed to reduce the output noise of the micro-inertial device. Design noise reduction method. After searchi...

Claims

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Application Information

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IPC IPC(8): G01C19/00G01P15/00
Inventor 吴鹏葛远声陈世同薛冰
Owner HARBIN ENG UNIV
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