Allan variance simplification algorithm based on RWTLS

doi:10.13474/j.cnki.11-2246.2020.0076

Abstract

Abstract: Now,Allan variance is the most widely used method for random error identification. Allan variance can effectively separate random errors in the navigation process. But Allan variance also has its own limitations. Allan variance calculation inefficient when dealing with the high-volume. Allan variance is affected by the gross error. This article put forward the solution of simplified Allan variance algorithm. First, a simplified Allan variance algorithm which can both reduce thecalculation burden and keep the accuracy of the results is proposed.Then taking advantage of robust weighted overall least-squares (RWTLS) iterative algorithm of the model of simplified Allan variance identification results are poor resistance fitting processing. Finally with optical fiber type inertial measurement unit (IMU) as the analysis object, experiment scheme to verify this simplified Allan variance is designed.

Key words: Allan variance, simplification, robustweighted total least squares model, fiber type inertial measurement unit, random errors

CLC Number:

P228

ZHOU Xiaomin, LIU Haiying, ZHANG Junjie. Allan variance simplification algorithm based on RWTLS[J]. Bulletin of Surveying and Mapping, 2020, 0(3): 44-47,82.

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