• Title/Summary/Keyword: Satellites data

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The Analysis on the Interference Effects from GSO Satellites into HAPS Ground station (GSO 위성으로부터 HAPS 지상국에 미치는 간섭 영향 분석)

  • 강영흥;최문환
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.8 no.3
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    • pp.523-528
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    • 2004
  • The bands 27.5 ∼ 28.35GHz and 31.0 ∼ 31.3GHz were allocated to the High Altitude Platform Station in WRC-2000. However, since these bands were already allocated to the existing fixed-satellite service, the analysis on the interference effects between the existing FSS/GSO system and FS/HAPS system should be needed. To do study on the interference effects between above two systems, we can consider two frequency operational conditions, one is the Reverse mode and the other Forward mode. In this paper, we considered the Forward mode as the frequency operational condition and analyzed the interference effect from a number of GSO satellites to HAPS ground station due to the I/N values, the latitude of HAPS and the satellite separation. In future, these results will be vital data to share between HAPS and GSO systems.

Vehicle Navigation using Carrier Phase of GPS/GLONASS (GPS/GLONASS의 반송파 위상을 이용한 차량항법)

  • Lee, In-Su;Lee, Yong-Hee;Moon, Du-Youl;Son, Young-Dong
    • Journal of Navigation and Port Research
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    • v.26 no.3
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    • pp.303-310
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    • 2002
  • Nowadays, the combined land navigation system using GPS(Global Positioning System) and DR(Deduced Reckoning), etc. has been used. Although GPS is popular with the land navigation system, this is not useful for the kinematic positioning of the vehicles in the urban canyon because of its few satellites. Thus, this study deals with the kinematic positioning of the vehicles with the combined GPS/GLONASS(GLObal Navigation Satellite System) to compliment the drawbacks of GPS. So the kinematic positioning of the vehicles can be performed constantly by the combined GPS/GLONASS based on the high acquisition rate of data with the help of GLONASS despite of many obstacles and few satellites tracked in the test sites. Consequently, the combined GPS/GLONASS can be applicable to the control of traffic flow and the effective management of read system.

Interpolation of GPS Receiver Clock Errors Using Least-Squares Collocation (Least-Squares Collocation을 이용한 GPS 수신기 시계오차 보간)

  • Hong, Chang-Ki;Han, Soohee
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.36 no.6
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    • pp.621-628
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    • 2018
  • More than four visible GPS (Global Positioning System) satellites are required to obtain absolute positioning. However, it is not easy to satisfy this condition when a rover is in such unfavorable condition as an urban area. As a consequence, clock-aided positioning has been used as an alternative method especially when the number of visible satellites is three providing that receive clock error information is available. In this study, LSC (Least-Squares Collocation) method is proposed to interpolate clock errors for clock-aided positioning after analyzing the characteristics of receiver clock errors. Numerical tests are performed by using GPS data collected at one of Korean CORS (Continuously Operating Reference Station) and a nearby GPS station. The receiver clock errors are obtained through the DGPS (Differential GPS) positioning technique and segmentation procedures are applied for efficient interpolation. Then, LSC is applied to predicted clock error at epoch which clock information is not available. The numerical test results are analyzed by examining the differences between the original and interpolated clock errors. The mean and standard deviation of the residuals are 0.24m and 0.49m, respectively. Therefore, it can be concluded that sufficient accuracy can be obtained by using the proposed method in this study.

Network Configuration Study for Multi-Satellite Operations (다중위성운영을 위한 네트워크 구성 방안 연구)

  • Baek, Hyun Chul;Jang, In Sik;Lee, Sang Jeong;Kim, Byung Chul;Lee, Jae Yong
    • Journal of Aerospace System Engineering
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    • v.13 no.4
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    • pp.1-9
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    • 2019
  • Integration of satellites with diverse missions, such as broadcast-communication, earth, meteorologicaland marine observations, and navigation, is vulnerable. The problems of the currently constructed ground station network were analyzed by constructing the test environment. Based on this, we designed a network that was capable of operating multiple satellites by one ground station. In addition, we proposed an interface and network configuration method with domestic and foreign ground stations. The network linking the domestic and foreign ground stations was composed of KREONET (Korea Research Environment Open Network) and GLORIAD (Global Ring Network for Advanced Application Development) of the KISTI(Korea Institute of Science and Technology Information). The internal network consists of VPN (Virtual Private Network), DMZ(De-Militarized Zone), and 1-way USB and so forth. By constructing the network by using the proposed method, harmful data, such as virus inflow and infection, can be blocked.

Searching for LSB Dwarf Satellite Galaxies Around Nearby Galaxies in IMSNG Data

  • Lim, Gu;Im, Myungshin;Kim, Jisu;Lee, Jeong Hwan;Choi, Changsu;Ehgamberdiev, S.;Burkhonov, O.;Mirzaqulov, D.
    • The Bulletin of The Korean Astronomical Society
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    • v.44 no.1
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    • pp.75.2-75.2
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    • 2019
  • Low surface brightness (LSB) dwarf galaxies hold a key to resolve the small-scale problems of Lambda Cold Dark Matter (LCDM) paradigm such as missing satellites problem. Many recent studies found LSB dwarf galaxies around massive galaxies beyond Local Group up to 10Mpc. Motivated by this, we can increase the number of them by searching for LSB dwarf galaxies around galaxies up to 40Mpc. We use stacked deep (${\mu}_R{\sim}26.2mag\;arcsec^{-2}$) optical B, R-band images taken from Maidanak 1.5m telescope, one of facilities of Intensive Monitoring Survey of Nearby Galaxies (IMSNG) which monitored nearby galaxies in a day cadence from 2014 to 2016. Extended LSB sources in ambient regions of 16 nearby galaxies are selected using central surface brightness and total R magnitude criteria. After that, 24 LSB dwarf candidates are selected with visual inspection. To identify if the candidates are satellites or not, we are trying to compare the number density of LSB dwarf candidates around massive galaxies with those in Canada-France-Hawaii-Telescope Legacy Survey (CFHTLS) wide fields which have no dominant massive galaxies for control sample.

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Preliminary Perfomances Anlaysis of 1.5-m Scale Multi-Purpose Laser Ranging System (1.5m급 다목적형 레이저 추적 시스템 예비 성능 분석)

  • Son, Seok-Hyeon;Lim, Jae-Sung
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.49 no.9
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    • pp.771-780
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    • 2021
  • The space Debris laser ranging system is called to be a definite type of satellite laser ranging system that measures the distance to satellites. It is a system that performs POD (Precise Orbit Determination) by measuring time of flight by firing a laser. Distance precision can be measured in mm-level units, and it is the most precise system among existing systems. Currently, KASI has built SLR in Sejong and Geochang, and utilized SLR data to verify the precise orbits of the STSAT-2C and KOMASAT-5. In recent years, due to the fall or collision of space debris, its satellites have been threatened, and in terms of security, laser tracking of space objects is receiving great interest in order to protect their own space assets and protect the safety of the people. In this paper, a 1.5m-class main mirror was applied for the system design of a multipurpose laser tracking system that considers satellite laser ranging and space object laser tracking. System preliminary performance analysis was performed based on Link Budget analysis considering specifications of major components.

Environmental Monitoring and Forecasting Using Advanced Remote Sensing Approaches (최신 원격탐사 기법을 이용한 지구환경 모니터링 및 예측)

  • Seonyoung Park;Ahram Song;Yangwon Lee;Jungho Im
    • Korean Journal of Remote Sensing
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    • v.39 no.5_3
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    • pp.885-890
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    • 2023
  • As satellite technology progresses, a growing number of satellites-like CubeSat and radar satellites-are available with a higher spectral and spatial resolutions than previous. National initiatives used to be the main force behind satellite development, but current trendsindicate that private enterprises are also actively exploring and developing new satellite technologies. This special issue examines the recent research results and advanced technology in remote sensing approaches for Earth environment analysis. These results provide important information for the development of satellite sensors in the future and are of great interest to researchers working with artificial intelligence in thisfield. The special issue introduces the latest advances in remote sensing technology and highlights studies that make use of data to monitor and forecast Earth's environment. The objective is to provide direction for the future of remote sensing research.

Analysis and study of Deep Reinforcement Learning based Resource Allocation for Renewable Powered 5G Ultra-Dense Networks

  • Hamza Ali Alshawabkeh
    • International Journal of Computer Science & Network Security
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    • v.24 no.1
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    • pp.226-234
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    • 2024
  • The frequent handover problem and playing ping-pong effects in 5G (5th Generation) ultra-dense networking cannot be effectively resolved by the conventional handover decision methods, which rely on the handover thresholds and measurement reports. For instance, millimetre-wave LANs, broadband remote association techniques, and 5G/6G organizations are instances of group of people yet to come frameworks that request greater security, lower idleness, and dependable principles and correspondence limit. One of the critical parts of 5G and 6G innovation is believed to be successful blockage the board. With further developed help quality, it empowers administrator to run many systems administration recreations on a solitary association. To guarantee load adjusting, forestall network cut disappointment, and give substitute cuts in case of blockage or cut frustration, a modern pursuing choices framework to deal with showing up network information is require. Our goal is to balance the strain on BSs while optimizing the value of the information that is transferred from satellites to BSs. Nevertheless, due to their irregular flight characteristic, some satellites frequently cannot establish a connection with Base Stations (BSs), which further complicates the joint satellite-BS connection and channel allocation. SF redistribution techniques based on Deep Reinforcement Learning (DRL) have been devised, taking into account the randomness of the data received by the terminal. In order to predict the best capacity improvements in the wireless instruments of 5G and 6G IoT networks, a hybrid algorithm for deep learning is being used in this study. To control the level of congestion within a 5G/6G network, the suggested approach is put into effect to a training set. With 0.933 accuracy and 0.067 miss rate, the suggested method produced encouraging results.

High-Speed Signal Processing Using GPU for Space Surveillance Radar (GPU를 이용한 우주감시레이다 신호처리 고속화 방안)

  • In-cheol Cho;Sung-hoon Cho;Ji-hoon An;Hyun-wook Moon;Sung-hwan Sohn;Taehee Jeong;Sangho Lim
    • Journal of Advanced Navigation Technology
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    • v.28 no.5
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    • pp.616-622
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    • 2024
  • Recently, each country is competitively investing huge amounts of money in space development, and space risks such as tens of thousands of satellites, spy satellites, and space debris are increasing. Although there are several assets for monitoring space, interest is growing in the detection of space objects using radar, which is useful for constant alert and wide-area surveillance. While the existing radar system was operated to detect aircraft, ships, and missiles within hundreds of kilometers, radar to detect space objects must be expanded to thousands of kilometers. In this case, the size of data that impairs signal processing increases, which can lead to a decrease in radar detection performance. In this paper, we present a method of speeding up signal processing using GPU when detecting space objects, which are long-distance targets, and the results of comparing performance compared to existing CPUs.

Dust/smoke detection by multi-spectral satellite data over land of East Asia (동아시아 지역의 육상에서 다중채널 위성자료에 의한 황사/연무 탐지)

  • Park, Su-Hyeun;Choo, Gyo-Hwang;Lee, Kyu-Tae;Shin, Hee-Woo;Kim, Dong-Chul;Jeong, Myeong-Jae
    • Korean Journal of Remote Sensing
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    • v.33 no.3
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    • pp.257-266
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    • 2017
  • In this study, the dust/smoke detection algorithm was developed with a multi-spectral satellite remote sensing method using Moderate resolution Imaging Spectroradiometer (MODIS) Level 1B (L1B) data and the results were validated as RGB composite images of red(R; band 1), green(G; band 4), blue(B; band 3) channels using MODIS L1B data and Cloud-Aerosol Lidar with Orthogonal Polarization Satellite Observations(CALIPSO) Vertical Feature Mask (VFM) product. In the daytime on March 30, 2007 and April 27, 2012, the consistencies between the dust/smoke detected by this algorithm and verification data were approximately 56.4 %, 72.0 %, respectively. During the nighttime, the similar consistency was 40.5 % on April 27, 2012. Although these results were analyzed for limited cases due to the spatiotemporal matching for the MODIS and CALIPSO satellites, they could be used to utilize the aerosol detection of geostationary satellites for the next generations in Korea through further research.