53 cm binocular telescope high repetition frequency space debris laser ranging system

Zhulian, 李祝莲 Li; Haitao, 张海涛 Zhang; Yuqiang, 李语强 Li; Honglin, 伏红林 Fu; Dongsheng, 翟东升 Zhai

doi:10.3788/irla201746.0729001

Cited by 3 publications

(2 citation statements)

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“…And this study does not require the convergence speed of GACA algorithm, but only the ability to obtain the optimal solution. Therefore, we introduced the maxmin ant algorithm to optimize the pheromone updating method of the ant colony algorithm [20]. A maximum value of τ max and a minimum value of τ min are specified for the pheromone concentration on each path, and each pheromone update restricts the pheromone concentration to the interval of [τ min , τ max ].…”

Section: Information Literacy Update Approach Designmentioning

confidence: 99%

Research on satellite laser ranging observation task scheduling method

Zequn,

Ning,

Cunbo

et al. 2024

Meas. Sci. Technol.

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Satellite Laser Ranging (SLR) is a technology with the highest precision of single measurement of satellite radial distance, which is developing rapidly in the direction of long-distance, high-precision and automation. SLR autonomous observation task scheduling is an important step in realizing station automation, which needs to satisfy the principles of satellite tracking priority and maximization of observation revenue at the same time. In order to improve the automation and intelligence level of SLR system, based on the framework of ant colony optimization algorithm, this paper combines the dynamic optimization characteristics of ant colony optimization algorithm and the local optimization characteristics of greedy algorithm, introduces the maximum-minimum ant mechanism, and puts forward a scheduling scheme for SLR observation task based on greedy ant colony algorithm (GACA). The results show that compared to the current scheduling methods applied in practice. The results show that compared with the current scheduling method applied in practice, the number of observation satellites obtained from the GACA algorithm-based observation task planning for the SLR system has been improved by 37.4%, the total arc segment of satellite observation with higher priority has been extended by 36.47%, and the total observation gain has been increased by 42.39% in the same period of time. It effectively solves the problems of low efficiency, easy to miss stars and less stars in the observation process in manual scheduling, and provides a simple, practical, efficient and convenient observation task planning scheme for the establishment of an unmanned SLR system.

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Section: Information Literacy Update Approach Designmentioning

confidence: 99%

Research on satellite laser ranging observation task scheduling method

Zequn,

Ning,

Cunbo

et al. 2024

Meas. Sci. Technol.

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“…Space Debris Laser Ranging (DLR) technology is developed from SLR technology, and DLR is a technique to measure range to non-cooperative targets (targets without retro-reflectors). Comparing with SLR, DLR is more difficult, which mainly results from the low reflectivity of targets and the inaccurate orbital prediction of targets [3][4][5][6][7][8].…”

Section: Introductionmentioning

confidence: 99%

Space Debris Laser Ranging with range-gate-free Superconducting Nanowire Single-Photon Detector

Zhang

et al. 2023

J. Eur. Opt. Society-Rapid Publ.

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Space Debris Laser Ranging (DLR) is a technique to measure range to defunct satellites, rocket bodies or other space targets in orbits around Earth. The analysis on the probability shows that one of the reasons for the low success probability of DLR is the inaccurate orbital prediction of targets. Then it is proposed to use the Superconducting Nanowire Single-Photon Detector (SNSPD) running in automatic-recoverable range-gate-free mode, in which case, the effect of the accuracy of the target’s orbital prediction on the success probability of DLR is greatly reduced. In this way, 249 space debris were successfully detected and 532 passes of data were obtained. The smallest target detected was the space-debris (902) with an orbital altitude of about 1000 km and a Radar Cross Section (RCS) of 0.0446 m2. The farthest target detected was the space-debris (12445) with a large elliptical orbit and an RCS of 18.2505 m2, of which the range of the normal point (NPT) of the measured arc-segment on January 27, 2019 was 6260.805 km.

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