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Allan variance analysis method of blending genetic algorithm

A technology that integrates genetics and analysis methods. It is applied in the field of Allan variance analysis that integrates genetic algorithms. It can solve the problems of huge differences in data, and achieve the effect of excellent random error coefficient and convenient testing and research.

Inactive Publication Date: 2018-06-29
NAVAL UNIV OF ENG PLA
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Problems solved by technology

However, in the actual equipment testing process, the collected data vary widely

Method used

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  • Allan variance analysis method of blending genetic algorithm
  • Allan variance analysis method of blending genetic algorithm
  • Allan variance analysis method of blending genetic algorithm

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Embodiment Construction

[0053] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0054] An Allan analysis of variance method fused with a genetic algorithm, specifically comprising:

[0055] Step 1, establish an equivalent model between each random error item and Allan variance, including:

[0056] Step 11, establish an equivalent model between quantization noise and Allan variance

[0057]

[0058] Among them, σ Q (τ) represents the Allan standard deviation of the quantization noise, and Q is the quantization noise coefficient.

[0059] The derivation process is as follows: quantization noise is caused by the digital characteristics of MEMS inertial device output, and its size depends on the design of the data acquisition system. It can usually be used to represent the lowest resolution level of MEMS. The angular power spectral density is:

[0060]

[0061] Where Q is the quantization noise figure. After derivation, the A...

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Abstract

The invention discloses an Allan variance analysis method of a blending genetic algorithm. The method comprises the following steps: establishing an equivalent model between each random error term andthe Allan variance, respectively collecting three-axis angular rates and three-axis acceleration information output by a MEMS gyroscope and an accelerometer under the horizontal and static condition;orderly performing Allan variance computation on the MEMS gyroscope and the accelerometer according to the collected angular rates and the acceleration information, thereby obtaining a numerical value corresponding relation between the Allan variance and the related time T; performing data fitting by using a genetic algorithm to determine various coefficient values in a model, thereby realizing the identification and extraction of the random error term.

Description

technical field [0001] The invention relates to the fields of inertia technology and application, in particular to an Allan variance analysis method fused with a genetic algorithm. Background technique [0002] The inertial navigation system is an autonomous navigation system that does not rely on external information at all, and can provide a wealth of navigation parameters, such as angular rate, acceleration, speed, heading, attitude, position, etc., and has great application value in the military. Traditional inertial devices are bulky and costly, and are mainly used in military and aviation fields. With the development of micro-inertial sensor technology and the adoption of microelectromechanical system (MEMS) technology, the cost of inertial devices has been greatly reduced, and the volume, mass and power consumption have also been significantly reduced, making it possible for inertial devices to be widely used in civilian fields. However, due to its limited accuracy, ...

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Application Information

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IPC IPC(8): G01C25/00
CPCG01C25/005
Inventor 傅军高端阳李安
Owner NAVAL UNIV OF ENG PLA
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