A performance evaluation method of mems gyroscope based on information entropy

Abstract

The invention discloses an information entropy-based micro-electro-mechanical system (MEMS) gyro performance evaluation method. The method comprises the following steps: collecting gyro output data, and constructing a gyro output data set; preprocessing data in the gyro output data set to remove noise data; calculating a mean value of the gyro output data, acquiring gyro random error, and constructing a gyro random error data set; carrying out data classification on the gyro random error data set, obtaining the proportion of each type of data in the gyro random data set according to the classification results, and using the obtained proportions as recessive feature vectors of the gyro random error; calculating information entropy of the gyro random error based on the recessive feature vectors of the gyro random error, and evaluating the performance of the gyro according to the information entropy. By adopting the technical scheme, the method aims at the problem of MEMS gyro accuracy performance evaluation in the prior art, adopts the information entropy to evaluate the random error of the MEMS gyro, and can be used for performing quantitative description on the uncertainty of the random error of different gyros.

Description

technical field [0001] The invention belongs to the field of gyroscope performance evaluation, and in particular relates to an information entropy-based MEMS gyroscope performance evaluation method. Background technique [0002] In recent years, with the development of microelectronic processing technology, the accuracy of MEMS inertial sensors, especially gyroscopes, has been greatly improved. With its advantages in size, cost, power consumption and impact resistance, MEMS gyroscopes are used to The inertial navigation technology has a wide range of application scenarios, such as drone control navigation technology, robot motion control, wearable devices with motion recognition, etc. The inertial system based on MEMS gyro has become an important research hotspot in the field of inertial technology. [0003] However, although the transient performance of the low-cost MEMS gyroscope is better, the error drift will gradually accumulate over time, which has a great impact on t...

AI Technical Summary

Problems solved by technology

The random error of MEMS gyroscope is random, some gyroscopes have high randomness, and some gyroscopes have low randomness

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