Analytic coarse alignment and calibration for inertial navigation system on swaying base assisted by star sensor

Lu, Jiazhen; Liang, Shufang; Yang, Lihua

doi:10.1049/iet-smt.2017.0535

Cited by 7 publications

(3 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The star sensor is currently known as the most accurate attitude measurement instrument, and it also has the characteristics of no drift and autonomy [ 1 , 2 , 3 , 4 , 5 , 6 , 7 , 8 , 9 , 10 , 11 ]. Therefore, the star sensor has been widely used in the field of aerospace navigation [ 12 , 13 , 14 , 15 , 16 , 17 , 18 , 19 , 20 , 21 , 22 ]. However, the attitude update rate (AUR) of the traditional star sensor is usually 4–10 Hz, which is too low to accomplish navigation tasks independently.…”

Section: Introductionmentioning

confidence: 99%

A High-Accuracy Star Centroid Extraction Method Based on Kalman Filter for Multi-Exposure Imaging Star Sensors

Yu,

Qu,

Zhang

2023

Sensors

View full text Add to dashboard Cite

A multi-exposure imaging approach proposed in earlier studies is used to increase star sensors’ attitude update rate by N times. Unfortunately, serious noises are also introduced in the star image due to multiple exposures. Therefore, a star centroid extraction method based on Kalman Filter is proposed in this paper. Firstly, star point prediction windows are generated based on centroids’ kinematic model. Secondly, the classic centroid method is used to calculate the coarse centroids of the star points within the prediction windows. Lastly, the coarse centroids are, respectively, processed by each Kalman Filter to filter image noises, and thus fine centroids are obtained. Simulations are conducted to verify the Kalman-Filter-based estimation model. Under noises with zero mean and ±0.4, ±1.0, and ±2.5 pixel maximum deviations, the coordinate errors after filtering are reduced to about 37.5%, 26.3%, and 20.7% of the original ones, respectively. In addition, experiments are conducted to verify the star point prediction windows. Among 100 star images, the average proportion of the number of effective star point objects obtained by the star point prediction windows in the total object number of each star image is calculated as only 0.95%. Both the simulated and experimental results demonstrate the feasibility and effectiveness of the proposed method.

show abstract

Section: Introductionmentioning

confidence: 99%

A High-Accuracy Star Centroid Extraction Method Based on Kalman Filter for Multi-Exposure Imaging Star Sensors

Yu,

Qu,

Zhang

2023

Sensors

View full text Add to dashboard Cite

show abstract

“…Therefore the main aim of initial alignment is to determine the initial attitude between the body frame and reference navigation frame [11]. In recent years, many attitude determination methods have been proposed for the initial attitude alignment, for example, analytic alignment method, transfer alignment method [12][13][14][15][16]. However, they are not applicable when the carrier is in-flight, which is the main focus of this paper.…”

Section: Introductionmentioning

confidence: 99%

A New In-Flight Alignment Method with an Application to the Low-Cost SINS/GPS Integrated Navigation System

Zhang

et al. 2020

Sensors

View full text Add to dashboard Cite

The optimization-based alignment (OBA) methods, which are implemented by the optimal attitude estimation using vector observations—also called double-vectors—have proven to be effective at solving the in-flight alignment (IFA) problem. However, the traditional OBA methods are not applicable for the low-cost strap-down inertial navigation system (SINS) since the error of double-vectors will be accumulated over time due to the substantial drift of micro-electronic- mechanical system (MEMS) gyroscope. Moreover, the existing optimal estimation method is subject to a large computation burden, which results in a low alignment speed. To address these issues, in this article we propose a new fast IFA method based on modified double-vectors construction and the gradient descent method. To be specific, the modified construction method is implemented by reducing the integration interval and identifying the gyroscope bias during the construction procedure, which improves the accuracy of double-vectors and IFA; the gradient descent scheme is adopted to estimate the optimal attitude of alignment without complex matrix operation, which results in the improvement of alignment speed. The effect of different sizes of mini-batch on the performance of the gradient descent method is also discussed. Extensive simulations and vehicle experiments demonstrate that the proposed method has better accuracy and faster alignment speed than the related traditional methods for the low-cost SINS/global positioning system (GPS) integrated navigation system

show abstract

“…For the sake of improving the performance, some alignment methods have been investigated in recent years [2,3]. The attitude information from the star sensor could approximate the rough alignment angles, which would help improve the precision of alignment [4]. Since the attitude information is not reliable, an optimisation-based alignment method was proposed to achieve fast and accurate alignment performance [5].…”

Section: Introductionmentioning

confidence: 99%

MASGQF with application to SINS alignment

Chen

et al. 2020

IET Science, Measurement & Technology

View full text Add to dashboard Cite

Analytic coarse alignment and calibration for inertial navigation system on swaying base assisted by star sensor

Cited by 7 publications

References 13 publications

A High-Accuracy Star Centroid Extraction Method Based on Kalman Filter for Multi-Exposure Imaging Star Sensors

A High-Accuracy Star Centroid Extraction Method Based on Kalman Filter for Multi-Exposure Imaging Star Sensors

A New In-Flight Alignment Method with an Application to the Low-Cost SINS/GPS Integrated Navigation System

MASGQF with application to SINS alignment

Contact Info

Product

Resources

About