• The Journal of the Korea institute of electronic communication sciences
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• v.9 no.4
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• pp.439-446
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• 2014

This study introduces about the analysis, verification and implementation of Digital Communication Satellite transponder. Through the pre-performance analysis of each component by the circuit level simulation, each component's performance was checked whether satisfying the specifications. When each of the components was connected in order, System's performances were evaluated through system harmonic balanced simulation whether satisfying the specifications. Through pre-analysis of the system performance, specification of each component was defined. On the basis of that specification, Components which comprise the Digital Communication Satellite repeater were manufactured, and finally, the overall system performance check was made by integrating the components of Digital Communication Satellite transponder.

• Journal of Satellite, Information and Communications
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• v.9 no.3
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• pp.109-115
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• 2014

This paper suggest meteorological satellite processing software's structure that reduces time and efforts of modification/upgrade. This structure's key feature is "algorithm component" that works within framework and eventually to a complete Meteorological satellite processing system. Most of existing Meteorological satellite system is designed around specific function and data sets which limits range of modification and upgrade. In addition, re-use of current algorithms become difficult although re-use of similar algorithm is the case in many occasions. This inefficiency can be resolved by designing a new framework as a result of detail analysis of collected requirements. A new framework and system architecture has been designed. In addition, operational flow of Satellite image processing framework has been described.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.40 no.2
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• pp.298-306
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• 2015

In this paper, we propose an efficient resource allocation scheme for the integrated satellite/terrestrial networks. The proposed scheme is a frequency sharing technique to mitigate the inter-component interferences which can be generated between a satellite beam and terrestrial cells that are operated in the same frequency. The proposed dynamic resource allocation scheme can mitigate the total inter-component interference by optimizing the total transmission power and it can expect a result of which can lead to an increase in capacity. In such a system, the interference situation can be affected by the distributed traffic demands or up/down link communications environments. In this point of view, we evaluate the performance of the total consumed power, the amount of inter-component interference with respect to different traffic distributions and interference environments between the satellite beam and terrestrial systems.

• Proceedings of the KSRS Conference
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• 2007.10a
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• pp.175-178
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• 2007

COMS (Communication Ocean Meteorological Satellite) is the geostationary satellite being developed by Korea Aerospace Research Institute for multi-mission: experimental communication, ocean monitoring and meteorological observations. The COMS operation is controlled by the on-board software running on the spacecraft central computer. The software is written in ADA language and developed under the software life cycle: Requirement analysis, Design, Implementation, Component test and Integration test. Most functional requirements are tested at component level on a software component testing tool, ATTOL. ATTOL provides a simple way to define the test cases and automates the test program generation, test execution and test analysis. When two or more verified components are put together, the integration test starts to check the non-functional requirements: real-time aspect, performance, the HW/SW compatibility and etc. This paper introduces the COMS on-board software and explains what to test and how to test the on-board software at component level using ATTOL.

• Proceedings of the KSRS Conference
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• 2007.10a
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• pp.460-463
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• 2007

COMS (Communication Ocean Meteorological Satellite) is the geostationary satellite being developed by Korea Aerospace Research Institute for multi-mission: experimental communication, ocean monitoring and meteorological observations. The COMS operation is controlled by the on-board software running on the spacecraft central computer. The software is written in ADA language and developed under the software life cycle: Requirement analysis, Design, Implementation, Component test and Integration test. Most functional requirements are tested at component level on a software component testing tool, ATTOL. ATTOL provides a simple way to define the test cases and automates the test program generation, test execution and test analysis. When two or more verified components are put together, the integration test starts to check the non-functional requirements: real-time aspect, performance, the HW/SW compatibility and etc. This paper introduces the COMS on-board software and explains what to test and how to test the on-board software at component level using ATTOL.

• Korean Journal of Remote Sensing
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• v.33 no.4
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• pp.445-454
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• 2017

The performance of spatial downscaling models depends on the quality of input coarse scale products. Thus, the impact of intrinsic errors contained in coarse scale satellite products on predictive performance should be properly assessed in parallel with the development of advanced downscaling models. Such an assessment is the main objective of this paper. Based on a synthetic satellite precipitation product at a coarse scale generated from rain gauge data, two synthetic precipitation products with different amounts of error were generated and used as inputs for spatial downscaling. Geographically weighted regression, which typically has very high explanatory power, was selected as the trend component estimation model, and area-to-point kriging was applied for residual correction in the spatial downscaling experiment. When errors in the coarse scale product were greater, the trend component estimates were much more susceptible to errors. But residual correction could reduce the impact of the erroneous trend component estimates, which improved the predictive performance. However, residual correction could not improve predictive performance significantly when substantial errors were contained in the input coarse scale data. Therefore, the development of advanced spatial downscaling models should be focused on correction of intrinsic errors in the coarse scale satellite product if a priori error information could be available, rather than on the application of advanced regression models with high explanatory power.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.38 no.8
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• pp.842-847
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• 2010

Thermal analysis for the simulation of satellite component level thermal vacuum test processes was carried out by considering thermal vacuum test environment condition, thermal vacuum chamber configuration, and satellite's inner thermal environment. The transient analysis results can be obtained for the temperatures of component and thermal vacuum chamber assemblies. The thermal analysis model was verified with the component thermal environmental test results by using enhanced thermal vacuum chamber.

• Journal of Internet Computing and Services
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• v.10 no.6
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• pp.191-203
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• 2009

Simulation is the work that identifies the characteristics of some problem through the simulated experiments. During the experiments it is frequently required to change or replace the simulation models, algorithms, or input/output data. Especially, in the case of the simulation works performed by replacing algorithms, if a replaceable component that implements a specific algorithm is not correct with respect to its functionality it is very difficult to carry out the simulation works successfully. In this paper, we suggest a test framework that verifies functional correctness of the replaceable component in the software-based GNSS (Global Navigation Satellite System) simulation environments. When a component is replaced, this framework enables us to properly execute the functional test for the component according to its context.

• Journal of Positioning, Navigation, and Timing
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• v.12 no.3
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• pp.215-228
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• 2023

The State Space Representation (SSR) method provides individual corrections for each Global Navigation Satellite System (GNSS) error components. This method can lead to less bandwidth for transmission and allows selective use of each correction. Precise Point Positioning (PPP) - Real-Time Kinematic (RTK) is one of the carrier-based precise positioning techniques using SSR correction. This technique enables high-precision positioning with a fast convergence time by providing atmospheric correction as well as satellite orbit and clock correction. Currently, the positioning service that supports PPP-RTK technology is the Quazi-Zenith Satellite System Centimeter Level Augmentation System (QZSS CLAS) in Japan. A system that provides correction for each GNSS error component, such as QZSS CLAS, requires monitoring of each error component to provide reliable correction and integrity information to the user. In this study, we conducted an analysis of the performance of residual error bounding for each error component. To assess this performance, we utilized the correction and quality indicators provided by QZSS CLAS. Performance analyses included the range domain, dispersive part, non-dispersive part, and satellite orbit/clock part. The residual root mean square (RMS) of CLAS correction for the range domain approximated 0.0369 m, and the residual RMS for both dispersive and non-dispersive components is around 0.0363 m. It has also been confirmed that the residual errors are properly bounded by the integrity parameters. However, the satellite orbit and clock part have a larger residual of about 0.6508 m, and it was confirmed that this residual was not bounded by the integrity parameters. Users who rely solely on satellite orbit and clock correction, particularly maritime users, thus should exercise caution when utilizing QZSS CLAS.