Open Access

ARTICLE

Fast Compass Alignment for Strapdown Inertial Navigation System

Jin Sun¹, Dengyin Zhang^{1, *}, Xiaoye Shi¹, Fei Ding^{1, 2}

1 School of Internet of Things, Nanjing University of Posts and Telecommunication, Nanjing, 21003, China.
2 Department of Electronic and Electrical Engineering, University College London, London, WC1E 6BT, UK.

* Corresponding Author: Dengyin Zhang. Email: .

Computers, Materials & Continua 2020, 65(2), 1349-1360. https://doi.org/10.32604/cmc.2020.011459

Received 09 May 2020; Accepted 06 June 2020; Issue published 20 August 2020

Abstract

Initial alignment is the precondition for strapdown inertial navigation system (SINS) to navigate. Its two important indexes are accuracy and rapidity, the accuracy of the initial alignment is directly related to the working accuracy of SINS, but in selfalignment, the two indexes are often contradictory. In view of the limitations of conventional data processing algorithms, a novel method of compass alignment based on stored data and repeated navigation calculation for SINS is proposed. By means of data storage, the same data is used in different stages of the initial alignment, which is beneficial to shorten the initial alignment time and improve the alignment accuracy. In order to verify the correctness of the compass algorithm based on stored data and repeated navigation calculation, the simulation experiment was done. In summary, when the computer performance is sufficiently high, the compass alignment method based on the stored data and the forward and reverse navigation calculation can effectively improve the alignment speed and improve the alignment accuracy.

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Keywords

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