Performance Analysis on Attitude Estimation Using Levenberg-Marquardt Optimization Method for Integrated Navigation System

2018 ◽  
Vol 24 (3) ◽  
pp. 284-289
Author(s):  
Yeonjo Kim ◽  
Byungjin Lee ◽  
Sangkyung Sung
Sensors ◽  
2019 ◽  
Vol 19 (7) ◽  
pp. 1721 ◽  
Author(s):  
Hao Xiong ◽  
Dongkai Dai ◽  
Yingwei Zhao ◽  
Xingshu Wang ◽  
Jiaxing Zheng ◽  
...  

This paper investigates the attitude estimation errors caused by the deflections of vertical (DOV) in the case of a rotational inertial navigation system (INS) integrated with a global satellite navigation system (GNSS). It has been proved theoretically and experimentally that the DOV can introduce a tilt error to the INS/GNSS integration, whereas less attention has been given to its effect to the heading estimation. In fact, due to the intercoupling characteristic of attitude errors, the heading estimation of an INS/GNSS integrated navigation system can also be affected. In this paper, first, the attitude estimation errors caused by DOV were deduced based on the INS’s error propagation functions. Then, the corresponding simulations were conducted and the results were well consistent with the theoretical analysis. Finally, a real shipborne marine test was organized with the aimed to verify the effect of DOV on attitude estimation in the rotational INS/GNSS integration, whereas the global gravity model was used for DOV compensation. The results with DOV compensation were compared with the corresponding results where the compensation was not used and showed that the heading estimation errors caused by DOV could exceed 20 arcsecs, which must be considered in high-precision application cases.


2019 ◽  
Vol 94 ◽  
pp. 02006
Author(s):  
Gwang Hee Jo ◽  
Jin Hyuk Lee ◽  
Jae Hee Noh ◽  
Ju Hyun Lee ◽  
Jae Min Ahn ◽  
...  

GPS is used in various navigation fields. However, visibility is lowered in such an environment as urban canyon, and navigation performance deteriorates due to the visibility, multipath effect. So, in order to improve navigation performance in this environment, methods of integration with other sensors have been studied. In this paper, we use radar to measure the range of the landmark with known position. An integration algorithm is designed using GPS pseudorange and radar measurement.


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