Method for eliminating signal online outliers

Abstract

The invention provides a method for eliminating signal online outliers. Firstly, the elimination of outlier energy in signals is finished by performing detection and linear compression on a wavelet function after signal wavelet transformation, and simultaneously, a method for linear elimination of the outliers protects signal characteristics nearby an outlier point and avoids a concussion phenomenon caused by the elimination of the outliers; secondly, aiming at the working characteristics of a micro-machined gyroscope, a method for performing a wavelet noise reduction threshold value calculation by using a virtual outlier concept is put forward to realize the noise reduction of signals of a ship micro-machined gyroscope; and finally, micro-machined gyroscope actually-measured signals containing the outliers and noises are filtered by using the method provided by the invention to ensure that a signal-to-noise ratio higher than that obtained by a universal threshold value noise reduction method is obtained while reducing the concussion nearby the outlier point. The method used for filtering has a small influence on a signal value nearby the outlier point, and the filtering effect is smoother.

Description

technical field [0001] The invention relates to a signal processing method, in particular to a noise reduction method for performing linear compression on a one-dimensional continuous signal noise energy wavelet function. 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. Both micro-mechanical gyroscopes and micro-mechanical accelerometers are mechanical devices implemented on tiny structures, so they are easily affected by factors such as external temperature. In addition to the limitations of the current technology level, the output signals of micro-inertial devices are more likely to produce data outliers. These The signal output value that deviates greatly from the correct measurement value caused by instantaneous interference often occurs at a single poi...

AI Technical Summary

Problems solved by technology

Both micro-mechanical gyroscopes and micro-mechanical accelerometers are mechanical devices implemented on tiny structures, so they are easily affected by factors such as external temperature. In addition to the limitations of the current technology level, the output signals of micro-inertial devices are more likely to produce data outliers. These Due to instantaneous interference, the signal output value that deviates greatly from the correct measurement value often appears at a single point, which has a serious impact on the attitude settlement

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