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Citation:
 Hongliang Yin,Bo Xu,Dezheng Liu.A Comprehensive Method for Evaluating Precision of Transfer Alignment on a Moving Base[J].Journal of Marine Science and Application,2017,(3):344-351.[doi:10.1007/s11804-017-1416-8]
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Title:
A Comprehensive Method for Evaluating Precision of Transfer Alignment on a Moving Base
Author(s):
Hongliang Yin12 Bo Xu3 Dezheng Liu3
Affilations:
Author(s):
Hongliang Yin12 Bo Xu3 Dezheng Liu3
1. China Ship Research and Development Academy, Beijing 100192, China;
2. Department of Precision Instrument, Tsinghua University, Beijing 100084, China
Keywords:
transfer alignmentprecision assessmentdegree of alignmentKalman smoothingreturns to scalemoving baseengineering applicationscomprehensive method
分类号:
-
DOI:
10.1007/s11804-017-1416-8
Abstract:
In this study, we propose the use of the Degree of Alignment (DOA) in engineering applications for evaluating the precision of and identifying the transfer alignment on a moving base. First, we derive the statistical formula on the basis of estimations. Next, we design a scheme for evaluating the transfer alignment on a moving base, for which the attitude error cannot be directly measured. Then, we build a mathematic estimation model and discuss Fixed Point Smoothing (FPS), Returns to Scale (RTS), Inverted Sequence Recursive Estimation (ISRE), and Kalman filter estimation methods, which can be used when evaluating alignment accuracy. Our theoretical calculations and simulated analyses show that the DOA reflects not only the alignment time and accuracy but also differences in the maneuver schemes, and is suitable for use as an integrated evaluation index. Furthermore, all four of these algorithms can be used to identify the transfer alignment and evaluate its accuracy. We recommend RTS in particular for engineering applications. Generalized DOAs should be calculated according to the tactical requirements.

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Memo

Memo:
Received date: 2016-07-30;Accepted date:2017-03-10。
Foundation item:Supported by the National Natural Science Foundation of China (61633008), the National Natural Science Foundation of China (61203225), the Natural Science Foundation of Heilongjiang Province of China(QC2014C069), the Special fund for the Central Universities (HEUCF160401), and Provincial Postdoctoral Scientific Research Foundation (LBH-Q15032).
Corresponding author:Bo Xu,xubocartor@sina.com
Last Update: 2017-08-31