Signal integral deviation removing method and system and electronic device

Abstract

The invention provides a signal integral deviation removing method and system and an electronic device. The method comprises the following steps: receiving an acceleration characteristic signal, and performing filtering deviation removing processing on the acceleration characteristic signal to obtain a filtered deviation-removed acceleration signal; receiving a speed characteristic signal deviation feedback calculated amount in real time; superposing the filtered and deviated acceleration characteristic signal and the speed characteristic signal deviation feedback calculated amount to obtain asuperposed signal; performing integral operation on the superposed signal to obtain a first speed characteristic signal; and carrying out filtering and deviation removing processing on the first speed characteristic signal to obtain a second speed characteristic signal. The system is used for executing the method, and a computer program is stored in the electronic device to execute the method. Byimplementing the method, the real-time performance and the system application range can be improved, and the operation resource requirement is reduced.

Description

technical field [0001] The invention relates to the technical field of signal processing, in particular to a method for signal integration and debiasing, a system thereof, and electronic equipment. Background technique [0002] In the field of engineering, there are many parameters that cannot be obtained directly. It is necessary to integrate the directly obtained signals to obtain the desired parameters. However, the integration will cause the DC component of the original signal to accumulate and amplify. Therefore, signal integration and debiasing processing are required. In this field, a variety of integral debiasing methods have been developed, but there are shortcomings such as insufficient real-time performance, large demand for computing resources, and limited system adaptability. For example figure 1 The signal integration debiasing method shown in this method takes the actual acceleration as 0 as an example. The original signal has systematic errors and fluctuatio...

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Problems solved by technology

[0002] In the field of engineering, there are many parameters that cannot be obtained directly. It is necessary to integrate the directly obtained signals to obtain the desired parameters. However, the integration will cause the DC component of the original signal to accumulate and amplify. Therefore, signal integration and debiasing processing are required.

A variety of integral debiasing methods have been developed in this field, but there are shortcomings such as insufficient real-time performance, large demand for computing resources, and limited system adaptability.

E.g figure 1 The signal integration debiasing method shown in this method takes the actual acceleration as 0 as an example. The original signal has systematic errors and fluctuations. After filtering and debiasing, the fluctuations are reduced, but the systematic errors cannot be eliminated. After the integral operation, it becomes a first-order Deviation, after filtering to remove the deviation, the deviation growth rate becomes slower, but there is still a first-order deviation

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