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The stellar/inertial integrated navigation system, which combines the inertial navigation system (INS) and the star tracker, can restrain the accumulated INS errors. In the traditional loosely coupled stellar/inertial integration method, the star tracker needs to observe more than two navigation stars on an image for attitude determination and to use the attitude information as the observation to estimate the systematic errors of the INS. However, under strong background radiation conditions, the star number in the field of view (FOV) usually drops below 3; thus, the loosely coupled method fails to work. To overcome this difficulty, an improved tightly coupled stellar/inertial integration method based on the observation of the star centroid prediction error (SCPE) is proposed in this paper. It calculates the difference between the extracted star centroid and the predicted star centroid, namely, the SCPE, as the observation and then estimates the INS errors with a Kalman filter. Numerical simulations and ground experiments are conducted to validate the feasibility of the tightly coupled method. It is proved that the proposed method, which makes full use of all star observation information, can improve the navigation accuracy compared with the loosely coupled method and is more robust when there are not enough stars in the FOV.
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http://dx.doi.org/10.1063/5.0027530 | DOI Listing |
Daytime star detection represents a significant advancement over traditional methods, with applications in astronomical navigation, atmospheric inversion, and satellite-ground communication. However, daylight conditions impose challenges such as limited exposure time, elevated background noise, and pronounced atmospheric turbulence. These factors reduce the accuracy, success rates, and adaptability of traditional star point extraction algorithms, directly affecting the performance of attitude and orientation systems.
View Article and Find Full Text PDFUnder dynamic conditions, star spots will move on the image plane of the star sensor, resulting in trailing of the star map. This trailing can significantly reduce the accuracy of star centroid positioning, thereby affecting satellite attitude determination. Unlike traditional methods that restore blurred star maps before positioning, we treat the centroid of the star point as a key point in the trailing star map and use a deep learning model based on object detection to convert the positioning of star points under dynamic conditions into the positioning of key points in the trailing star map.
View Article and Find Full Text PDFSensors (Basel)
July 2025
Intelligent Microsystems Laboratory, College of Instrument Science and Opto-Electronics Engineering, Beijing Information Science and Technology University, Beijing 100192, China.
Star sensors, as the most precise attitude measurement devices currently available, play a crucial role in spacecraft attitude estimation. However, traditional frame-based cameras tend to suffer from target blur and loss under high-dynamic maneuvers, which severely limit the applicability of conventional star sensors in complex space environments. In contrast, event cameras-drawing inspiration from biological vision-can capture brightness changes at ultrahigh speeds and output a series of asynchronous events, thereby demonstrating enormous potential for space detection applications.
View Article and Find Full Text PDFDiabetologia
July 2025
Institute for Biometrics and Epidemiology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany.
Aims/hypothesis: Despite continued interest in precision diagnostics and type 2 diabetes subtypes, the challenge of uncertainty in the classification of individuals into subtypes remains. This study introduces a novel method for quantifying and accounting for classification uncertainty in type 2 diabetes subtypes.
Methods: Building on recommendations from the ADA/EASD Precision Medicine in Diabetes Initiative, we quantified classification uncertainty using the normalised relative entropy (NRE), computed from distances to cluster centroids.
Nature
May 2025
Departamento de Astronomía, Universidad de Chile, Santiago, Chile.
Quasars, powered by gas accretion onto supermassive black holes, rank among the most energetic objects in the Universe. Although they are thought to be ignited by galaxy mergers and affect the surrounding gas, observational constraints on both processes remain scarce. Here we describe a major merging system at redshift z ≈ 2.
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