Fast and High Precision Alignment Algorithm Based on Multi Vector

Dingjie Xu, Pan Jiang, Ya Zhang, Shiwei Fan, Guochen Wang

Abstract: This paper presents a new fast alignment method which is effective to any movement form. Compared with the traditional dynamic base alignment method based on two vector, the new method can use the full information so we can use it to achieve higher alignment accuracy. We use the q-method which is used to solve the Wahba’s problem to achieve the attitude estimation. The experiment results show that this method can meet the quickness and satisfy the requirement of accuracy.
Published in: 2018 IEEE/ION Position, Location and Navigation Symposium (PLANS)
April 23 - 26, 2018
Hyatt Regency Hotel
Monterey, CA
Pages: 505 - 509
Cite this article: Xu, Dingjie, Jiang, Pan, Zhang, Ya, Fan, Shiwei, Wang, Guochen, "Fast and High Precision Alignment Algorithm Based on Multi Vector," 2018 IEEE/ION Position, Location and Navigation Symposium (PLANS), Monterey, CA, April 2018, pp. 505-509.
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