检索结果-内蒙古大学图书馆

21st IEEE International Colloquium on Signal Processing and Its Applications, CSPA 2025

作者： Razaman, Anis Hannani Ahmad, Yasser Asrul Khalifa, Othman Omran Saidin, Norazlina Azman, Amelia Wong International Islamic University Malaysia Department of Electrical and Computer Engineering Kuala Lumpur Malaysia

ISBN: (纸本)9798331522193

This paper reviews on potential algorithms for navigation on the moon's surface, focusing on centroiding algorithms in star sensors or trackers. Accurate positioning is crucial for lunar missions since there's no Global Positioning System (GPS), and navigation depends on pre-installed maps and sensors like Light Detection and Ranging (LiDAR) and star trackers. Star sensors or trackers are ideal for these missions due to their high accuracy. However, the moon's environment adds challenges, like interference from bright reflections and noise from radiation. This paper reviews different star-sensing methods, comparing CMOS and CCD sensors, and assesses their algorithms for their effectiveness in lunar mission. The research gap which are the strengths and weaknesses of these methods were discussed and identify areas for improvement. By addressing these gaps, this study aims to contribute to the development of more robust and accurate centroiding algorithms, advancing lunar navigation technologies for future exploration missions. © 2025 IEEE.

关键词： centroiding algorithm CMOS Image Extraction Lunar navigation Star Sensor

来源：评论

学校读者我要写书评

暂无评论

Simulations and laboratory performance results of the weighted Fourier phase slope centroiding algorithm in a Shack-Hartmann sensor

引用

OPTICAL ENGINEERING 2018年第5期57卷 053107-053107页

作者： Mangharam Chulani, Haresh Manuel Rodriguez-Ramos, Jose Inst Astrofis Canarias Technol Div Elect Dept San Cristobal la Laguna Canary Islands Spain Univ La Laguna Fac Phys San Cristobal la Laguna Canary Islands Spain Wooptix SL San Cristobal la Laguna Canary Islands Spain

The performance of the "weighted Fourier phase slope" centroiding algorithm at the subpupil image of a Shack-Hartmann wavefront sensor for point-like astronomical guiding sources is explored. This algorithm estimates the image's displacement in the Fourier domain by directly computing the phase slope at several spatial frequencies, without the intermediate step of computing the phase;it then applies optimized weights to the phase slopes at each spatial frequency obtained by a Bayesian estimation method. The idea was inspired by cepstrum deconvolution techniques, and this relationship is illustrated. The algorithm's tilt estimation performance is characterized and contrasted with other known centroiding algorithms, such as thresholded centre of gravity (TCoG) and cross correlation (CC), first through numerical simulations at the subpupil level, then at the pupil level, and finally at the laboratory test bench. Results show a similar sensitivity to that of the CC algorithm, which is superior to that of the TCoG algorithm when large fields of view are necessary, i.e., in an open-loop configured adaptive optics system, thereby increasing the guide star limiting magnitude by 0.6 to 0.7 mag. On the other side, its advantage over the CC algorithm is its lower computational cost by approximately an order of magnitude. (C) The Authors. Published by SPIE under a Creative Commons Attribution 3.0 Unported License.

关键词： Fourier domain centroiding algorithm Shack-Hartmann adaptive optics multiobject adaptive optics

来源：评论

学校读者我要写书评

暂无评论

An Accurate and Efficient Gaussian Fit centroiding algorithm for Star Trackers

引用

JOURNAL OF THE ASTRONAUTICAL SCIENCES 2014年第1期61卷 60-84页

作者： Delabie, Tjorven De Schutter, Joris Vandenbussche, Bart Katholieke Univ Leuven Dept Mech Engn Celestijnenlaan 300B Heverlee Belgium Katholieke Univ Leuven Dept Astron Heverlee Belgium

This paper presents a novel centroiding algorithm for star trackers. The proposed algorithm, which is referred to as the Gaussian Grid algorithm, fits an elliptical Gaussian function to the measured pixel data and derives explicit expressions to determine the centroids of the stars. In tests, the algorithm proved to yield accuracy comparable to that of the most accurate existing algorithms, while being significantly less computationally intensive. Hence, the Gaussian Grid algorithm can deliver high centroiding accuracy to spacecraft with limited computational power. Furthermore, a hybrid algorithm is proposed in which the Gaussian Grid algorithm yields an accurate initial estimate for a least squares fitting method, resulting in a reduced number of iterations and hence reduced computational cost. The low computational cost allows to improve performance by acquiring the attitude estimates at a higher rate or use more stars in the estimation algorithms. It is also a valuable contribution to the expanding field of small satellites, where it could enable low-cost platforms to have highly accurate attitude estimation.

关键词： Star tracker centroiding algorithm

来源：评论

学校读者我要写书评

暂无评论

Modification and hardware implementation of star tracker algorithms

引用

SN APPLIED SCIENCES 2019年第12期1卷 1524页

作者： Hashemi, Maliheh Mashhadi, Kamaleddin Mousavi Fiuzy, Mohammad Iran Univ Sci & Technol Sch Elect Engn Tehran Iran

In this paper, a laboratory model is designed to evaluate the performance of star tracker algorithms for attitude determination of a satellite. Star tracker is the most accurate attitude sensor that determines satellite direction by applying centroiding algorithm, star identification and attitude determination. To utilize such algorithms, first, high quality of star images are needed which should be provided through the star tracker camera. Then, such images are given to processors and it determines the attitude of camera and satellite in three axes based on mentioned algorithms. First, in preliminary design, we define important star tracker parameters, like accuracy, detector, processor and field of view. In this paper, we have considered the range accuracy in yaw/pitch axis less than 20 arcsec and for roll axis less than 100 arcsec. To improve the attitude determination accuracy, we have applied an adaptive structure in centroiding algorithm, as only brightness stars are selected and identification algorithm is done based on them. Another important parameter is speed of identification algorithm which is handled by an ARM processor and improving pyramid algorithm, we reached less than 25 ms. Duo to this time, updating rate would be desired. Also knowing the coordination of bore sight direction that is distance between focal lens and imager is another important parameter that affects the accuracy of attitude and by ground calibration of camera, this parameter could be estimated carefully. Finally, implementation results on real images that are captured by a star tracker demonstrate optimum performance of algorithms.

关键词： Star tracker centroiding algorithm Star identification Star catalog Attitude determination

来源：评论

学校读者我要写书评

暂无评论

A software package for evaluating the performance of a star sensor operation

引用

EXPERIMENTAL ASTRONOMY 2017年第1期43卷 99-117页

作者： Sarpotdar, Mayuresh Mathew, Joice Sreejith, A. G. Nirmal, K. Ambily, S. Prakash, Ajin Safonova, Margarita Murthy, Jayant Indian Inst Astrophys Bangalore Karnataka India

We have developed a low-cost off-the-shelf component star sensor (StarSense) for use in minisatellites and CubeSats to determine the attitude of a satellite in orbit. StarSense is an imaging camera with a limiting magnitude of 6.5, which extracts information from star patterns it records in the images. The star sensor implements a centroiding algorithm to find centroids of the stars in the image, a Geometric Voting algorithm for star pattern identification, and a QUEST algorithm for attitude quaternion calculation. Here, we describe the software package to evaluate the performance of these algorithms as a star sensor single operating system. We simulate the ideal case where sky background and instrument errors are omitted, and a more realistic case where noise and camera parameters are added to the simulated images. We evaluate such performance parameters of the algorithms as attitude accuracy, calculation time, required memory, star catalog size, sky coverage, etc., and estimate the errors introduced by each algorithm. This software package is written for use in MATLAB. The testing is parametrized for different hardware parameters, such as the focal length of the imaging setup, the field of view (FOV) of the camera, angle measurement accuracy, distortion effects, etc., and therefore, can be applied to evaluate the performance of such algorithms in any star sensor. For its hardware implementation on our StarSense, we are currently porting the codes in form of functions written in C. This is done keeping in view its easy implementation on any star sensor electronics hardware.

关键词： Cubesats Star sensor Attitude control system centroiding algorithm Geometric voting algorithm QUEST algorithm

来源：评论

学校读者我要写书评

暂无评论

Maximum Likelihood Estimation and centroiding Hybrid RSSI-based Indoor Positioning

Maximum Likelihood Estimation and Centroiding Hybrid RSSI-ba...

引用

2016 3rd International Conference on Materials Engineering,Manufacturing Technology and Control(ICMEMTC 2016)

作者： Liu Shan Peng Shengliang Wang Zhi College of Information Science and Engineering Huaqiao University

RSSI-based positioning technology suffers from accuracy degradation due to complex indoor environment, and traditional weighted centroid algorithm hardly satisfies people’s accuracy requirements. In this paper, a hybrid RSSI based positioning algorithm is proposed. Firstly, maximum likelihood estimation method is used to estimate the rough information of positioning target;then, optimized weighted centroiding algorithm is adopted to obtain its accurate coordinates, which further improves the positioning accuracy. Simulation results have verified the superiority of this hybrid algorithm compared with traditional algorithms.

关键词： Wireless positioning RSSI maximum likelihood estimation centroiding algorithm

来源：评论

学校读者我要写书评

暂无评论

Subpixel centroiding algorithm for EMCCD star tracker

Subpixel centroiding algorithm for EMCCD star tracker

引用

International Conference on Optical Instruments and Technology - Advanced Sensor Technologies and Applications

作者： Li, Yufeng Li, Dongmei Liang, Yanbo Shenyang Inst Aeronaut Engn Dept Elect Engn Shenyang 110136 Peoples R China Dept Technol Broadcasting Jilin Televis P R China Changchun 130033 Peoples R China Changchunn Meteorol Bur Observ Changchnn Changchun 130051 Peoples R China

ISBN: (纸本)9780819474018

Star tracker is the most precision attitude measurement instrument of spacecrafts, which plays a very important role in attitude measurement and control system. The technology of star tracker based on CCD is very popular. Unfortunately, with a CCD system, a single integration period for the entire sensor is necessitated. This leads low data output and update slowly. Moreover, CCD star tracker is not proper to micro-spacecraft because its volume, weight and energy consume cannot further decrease. Thus, the novel electron-multiplying CCD (EMCCD) is starting their way in space applications field. centroiding algorithm is a subpixel position determination method proper to star position calculation because of its high accuracy and simplicity. But its position accuracy is affected by various kinds of noise. In this paper, the subpixel position accuracy of centroiding algorithm is analyzed. The focus is on the estimation of the attainable accuracy in the application of EMCCD detector, and analysis of the EMCCD noise influence on the star subpixel position accuracy to find the methods of improving it. The analysis shows that the main contributors to the errors of subpixel position come from dark noise, read noise and photon shot noise. Simulation experiment results show that the subpixel position accuracy can attain 1/45 pixel, which can satisfy the high attitude measurement accuracy requirement, and can be further improved with the increase of SNR.

关键词： EMCCD centroiding algorithm subpixel position centroid accuracy readout noise dark current noise

来源：评论

学校读者我要写书评

暂无评论

Development of high-accuracy image centroiding algorithm for CMOS-based digital sun sensors

引用

SENSORS AND ACTUATORS A-PHYSICAL 2008年第1期144卷 29-37页

作者： Chang, Young-Keun Lee, Byung-Hoon Korea Aerosp Univ Sch Aerosp & Mech Engn Goyang City 412791 South Korea

A digital sun sensor calculates the incident sunlight angle using the sunlight image registered on a Complimentary Metal Oxide Semiconductor (CMOS) image sensor. In order to accomplish this, an exact center of the sunlight image has to be determined. Therefore, an accurate estimate of the centroid is the most important factor in digital sun sensor development. The most general method for determining the centroid is the thresholding method, and this method is also the simplest and easy to implement. Another centering algorithm often used is the image filtering method that utilizes image processing. The sun sensor accuracy using these methods, however, is quite susceptible to noise in the detected sunlight intensity. This is especially true in the thresholding method where the accuracy changes according to the threshold level. In this paper, a template method that uses the sunlight image model to determine the centroid of the sunlight image is suggested, and the performance has been compared and analyzed. The template method suggested, unlike the thresholding and image filtering method, has comparatively higher accuracy. In addition, it has the advantage of having consistent level of accuracy regardless of the noise level, which results in a higher reliability. (C) 2008 Elsevier B.V. All rights reserved.

关键词： CMOS image sensor digital sun sensor centroiding algorithm thresholding attitude accuracy incident angle

来源：评论

学校读者我要写书评

暂无评论

Subpixel centroiding algorithm for EMCCD star tracker

Subpixel centroiding algorithm for EMCCD star tracker

引用

2008 International Conference on Optical Instruments and Technology

作者： Yufeng Li~a,Dongmei Li~b,Yanbo Liang~c a Dept.of Electronic Engineering,Shenyang Institute of Aeronautical Engineering,Shenyang, 110136,China,b Dept.of Technology Broadcasting,Jilin Television of P.R.China,Changchun 130033,China c Changchun Meteorological Bureau,Observatory of Changchun,Changchun,130051

Star tracker is the most precision attitude measurement instrument of spacecrafts,which plays a very important role in attitude measurement and control *** technology of star tracker based on CCD is very ***, with a CCD system,a single integration period for the entire sensor is *** leads low data output and update ***,CCD star tracker is not proper to micro-spacecraft because its volume,weight and energy consume cannot further ***,the novel electron-multiplying CCD(EMCCD)is starting their way in space applications *** algorithm is a subpixel position determination method proper to star position calculation because of its high accuracy and *** its position accuracy is affected by various kinds of *** this paper, the subpixel position accuracy of centroiding algorithm is *** focus is on the estimation of the attainable accuracy in the application of EMCCD detector,and analysis of the EMCCD noise influence on the star subpixel position accuracy to find the methods of improving *** analysis shows that the main contributors to the errors of subpixel position come from dark noise,read noise and photon shot *** experiment results show that the subpixel position accuracy can attain 1/45 pixel,which can satisfy the high attitude measurement accuracy requirement, and can be further improved with the increase of SNR.

关键词： EMCCD centroiding algorithm subpixel position centroid accuracy readout noise dark current noise

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：