Research on the algorithm of solving the optical axis direction of celestial navigation star sensor

2021 ◽  
Author(s):  
Zhe Wen ◽  
Hongwei Bian ◽  
Rongying Wang ◽  
Heng Ma ◽  
Zhonglei Zhu
Keyword(s):  
Optical Axis ◽  
Star Sensor ◽  
Axis Direction ◽  
Celestial Navigation

scholarly journals An Autonomous Navigation Algorithm for High Orbit Satellite Using Star Sensor and Ultraviolet Earth Sensor

2013 ◽  
Vol 2013 ◽  
pp. 1-7 ◽  
Author(s):  
Li Baohua ◽  
Lai Wenjie ◽  
Chen Yun ◽  
Liu Zongming
Keyword(s):  
Coordinate System ◽  
Autonomous Navigation ◽  
Optical Axis ◽  
Identification Algorithm ◽  
Star Sensor ◽  
Integrated Sensor ◽  
Axis Direction ◽  
Navigation Data ◽  
Navigation Algorithm ◽  
Center Vector

An autonomous navigation algorithm using the sensor that integrated the star sensor (FOV1) and ultraviolet earth sensor (FOV2) is presented. The star images are sampled by FOV1, and the ultraviolet earth images are sampled by the FOV2. The star identification algorithm and star tracking algorithm are executed at FOV1. Then, the optical axis direction of FOV1 at J2000.0 coordinate system is calculated. The ultraviolet image of earth is sampled by FOV2. The center vector of earth at FOV2 coordinate system is calculated with the coordinates of ultraviolet earth. The autonomous navigation data of satellite are calculated by integrated sensor with the optical axis direction of FOV1 and the center vector of earth from FOV2. The position accuracy of the autonomous navigation for satellite is improved from 1000 meters to 300 meters. And the velocity accuracy of the autonomous navigation for satellite is improved from 100 m/s to 20 m/s. At the same time, the period sine errors of the autonomous navigation for satellite are eliminated. The autonomous navigation for satellite with a sensor that integrated ultraviolet earth sensor and star sensor is well robust.

The Stellar-INS Navigation Performance Influence Mechanism of Star Vector Orientation in the Field of View

2020 ◽  
pp. 1-13
Author(s):  
Chunxi Zhang ◽  
Yanqiang Yang ◽  
Hao Zhang ◽  
Xiaowen Cai
Keyword(s):  
Error Estimation ◽  
Optical Axis ◽  
Inertial Navigation ◽  
Field Of View ◽  
Estimation Accuracy ◽  
Large Field ◽  
Star Sensor ◽  
Axis Direction ◽  
Influence Mechanism ◽  
Vector Orientation

The star sensor field of view varies from several arc-minutes to 20 degrees, which directly determines the star vector orientation in the field of view (FOV). Although the relationship between star vector orientation in the FOV and attitude accuracy has been revealed, the influence mechanism of star vector orientation on the integrated navigation performance of a stellar inertial navigation system has not been analysed. In order to improve the integrated accuracy, the main errors such as star sensor installation error, gyro error and initial platform angle error should be estimated online. It is significant to study the influence mechanism of star vector orientation on estimation of the above errors. In this paper, the star sensor sensitivity and the geometry factor are defined to feature the difference between the optical axis direction and the non-optical axis direction. The formulised mechanism and quantification results between star vector orientation and integration attitude and error estimation accuracy are clearly given. Simulation and ground testing were conducted and it was found that the larger the star vector orientation along the optical axis, the better the error estimation accuracy. In contrast, the attitude accuracy is weakly sensitive to the orientation of the star vector in conditions of appropriate posture adjustment and star observation scheme. This conclusion can offer universal guidance for the design and evaluation of stellar inertial navigation systems with narrow field of view or large field of view star sensors.

scholarly journals Performance and optimization research of triple-junction solar cell along the optical axis direction on \text{the HCPV module}

2016 ◽  
Vol 65 (14) ◽  
pp. 148801
Author(s):  
Lian Rong-Hai ◽  
Liang Qi-Bing ◽  
Shu Bi-Fen ◽  
Fan Chou ◽  
Wu Xiao-Long ◽  
...  
Keyword(s):  
Solar Cell ◽  
Triple Junction ◽  
Optical Axis ◽  
Axis Direction ◽  
Junction Solar Cell

scholarly journals LOW FREQUENCY ERROR ANALYSIS AND CALIBRATION FOR HIGH-RESOLUTION OPTICAL SATELLITE’S UNCONTROLLED GEOMETRIC POSITIONING

2016 ◽  
Vol XLI-B1 ◽  
pp. 395-399
Author(s):  
Mi Wang ◽  
Chengcheng Fang ◽  
Bo Yang ◽  
Yufeng Cheng
Keyword(s):  
High Resolution ◽  
Information Fusion ◽  
Optical Axis ◽  
Low Frequency ◽  
Calibration Method ◽  
Error Model ◽  
Model Construction ◽  
Frequency Error ◽  
Star Sensor ◽  
Geometric Calibration

The low frequency error is a key factor which has affected uncontrolled geometry processing accuracy of the high-resolution optical image. To guarantee the geometric quality of imagery, this paper presents an on-orbit calibration method for the low frequency error based on geometric calibration field. Firstly, we introduce the overall flow of low frequency error on-orbit analysis and calibration, which includes optical axis angle variation detection of star sensor, relative calibration among star sensors, multi-star sensor information fusion, low frequency error model construction and verification. Secondly, we use optical axis angle change detection method to analyze the law of low frequency error variation. Thirdly, we respectively use the method of relative calibration and information fusion among star sensors to realize the datum unity and high precision attitude output. Finally, we realize the low frequency error model construction and optimal estimation of model parameters based on DEM/DOM of geometric calibration field. To evaluate the performance of the proposed calibration method, a certain type satellite’s real data is used. Test results demonstrate that the calibration model in this paper can well describe the law of the low frequency error variation. The uncontrolled geometric positioning accuracy of the high-resolution optical image in the WGS-84 Coordinate Systems is obviously improved after the step-wise calibration.

scholarly journals LOW FREQUENCY ERROR ANALYSIS AND CALIBRATION FOR HIGH-RESOLUTION OPTICAL SATELLITE’S UNCONTROLLED GEOMETRIC POSITIONING

2016 ◽  
Vol XLI-B1 ◽  
pp. 395-399
Author(s):  
Mi Wang ◽  
Chengcheng Fang ◽  
Bo Yang ◽  
Yufeng Cheng
Keyword(s):  
High Resolution ◽  
Information Fusion ◽  
Optical Axis ◽  
Low Frequency ◽  
Calibration Method ◽  
Error Model ◽  
Model Construction ◽  
Frequency Error ◽  
Star Sensor ◽  
Geometric Calibration

The low frequency error is a key factor which has affected uncontrolled geometry processing accuracy of the high-resolution optical image. To guarantee the geometric quality of imagery, this paper presents an on-orbit calibration method for the low frequency error based on geometric calibration field. Firstly, we introduce the overall flow of low frequency error on-orbit analysis and calibration, which includes optical axis angle variation detection of star sensor, relative calibration among star sensors, multi-star sensor information fusion, low frequency error model construction and verification. Secondly, we use optical axis angle change detection method to analyze the law of low frequency error variation. Thirdly, we respectively use the method of relative calibration and information fusion among star sensors to realize the datum unity and high precision attitude output. Finally, we realize the low frequency error model construction and optimal estimation of model parameters based on DEM/DOM of geometric calibration field. To evaluate the performance of the proposed calibration method, a certain type satellite’s real data is used. Test results demonstrate that the calibration model in this paper can well describe the law of the low frequency error variation. The uncontrolled geometric positioning accuracy of the high-resolution optical image in the WGS-84 Coordinate Systems is obviously improved after the step-wise calibration.

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