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The Development of Modularized Post Processing GPS Software Receiving Platform using MATLAB Simulink
Kim, Ghang-Ho,So, Hyoung-Min,Jeon, Sang-Hoon,Kee, Chang-Don,Cho, Young-Su,Choi, Wansik The Korean Society for Aeronautical and Space Scie 2008 International Journal of Aeronautical and Space Sc Vol.9 No.2
Modularized GPS software defined radio (SDR) has many advantages of applying and modifying algorithm. Hardware based GPS receiver uses many hardware parts (such as RF front, correlators, CPU and other peripherals) that process tracked signal and navigation data to calculate user position, while SDR uses software modules, which run on general purpose CPU platform or embedded DSP. SDR does not have to change hardware part and is not limited by hardware capability when new processing algorithm is applied. The weakness of SDR is that software correlation takes lots of processing time. However, in these days the evolution of processing power of MPU and DSP leads the competitiveness of SDR against the hardware GPS receiver. This paper shows a study of modulization of GPS software platform and it presents development of the GNSS software platform using MATLAB Simulink™. We focus on post processing SDR platform which is usually adapted in research area. The main functions of SDR are GPS signal acquisition, signal tracking, decoding navigation data and calculating stand alone user position from stored data that was down converted and sampled intermediate frequency (IF) data. Each module of SDR platform is categorized by function for applicability for applying for other frequency and GPS signal easily. The developed software platform is tested using stored data which is down-converted and sampled IF data file. The test results present that the software platform calculates user position properly.
The Development of Modularized Post Processing GPS Software Receiving Platform using MATLAB Simulink
Ghang-Ho Kim,Hyoung-Min So,Sang-Hoon Jeon,Chang-Don Kee,Youngsu Cho,Wansik Choi 한국항공우주학회 2008 International Journal of Aeronautical and Space Sc Vol.9 No.2
Modularized GPS software defined radio (SDR) has many advantages of applying and modifying algorithm. Hardware based GPS receiver uses many hardware parts (such as RF front, correlators, CPU and other peripherals) that process tracked signal and navigation data to calculate user position, while SDR uses software modules, which run on general purpose CPU platform or embedded DSP. SDR does not have to change hardware part and is not limited by hardware capability when new processing algorithm is applied. The weakness of SDR is that software correlation takes lots of processing time. However, in these days the evolution of processing power of MPU and DSP leads the competitiveness of SDR against the hardware GPS receiver. This paper shows a study of modulization of GPS software platform and it presents development of the GNSS software platform using MATLAB Simulink™. We focus on post processing SDR platform which is usually adapted in research area. The main functions of SDR are GPS signal acquisition, signal tracking, decoding navigation data and calculating stand alone user position from stored data that was down converted and sampled intermediate frequency (IF) data. Each module of SDR platform is categorized by function for applicability for applying for other frequency and GPS signal easily. The developed software platform is tested using stored data which is down-converted and sampled IF data file. The test results present that the software platform calculates user position properly.
Ghang, Ho-Young,Han, Young-Joo,Jeong, Sang-Jin,Bhak, Jong,Lee, Sung-Hoon,Kim, Tae-Hyung,Kim, Chul-Hong,Kim, Sang-Soo,Al-Mulla, Fahd,Youn, Chan-Hyun,Yoo, Hyang-Sook,The HUGO Pan-Asian SNP Consortium, T Korea Genome Organization 2011 Genomics & informatics Vol.9 No.4
In planning a model-based phylogenic study for highly related ethnic data, the SNP marker number is an important factor to determine for relationship inferences. Genotype frequency data, utilizing a sub sampling method, from 63 Pan Asian ethnic groups was used for determining the minimum SNP number required to establish such relationships. Bootstrap random sub-samplings were done from 5.6K PASNPi SNP data. DA distance was calculated and neighbour-joining trees were drawn with every re-sampling data set. Consensus trees were made with the same 100 sub-samples and bootstrap proportions were calculated. The tree consistency to the one obtained from the whole marker set, improved with increasing marker numbers. The bootstrap proportions became reliable when more than 7,000 SNPs were used at a time. Within highly related ethnic groups, the minimum SNPs number for a robust neighbor-joining tree inference was about 7,000 for a 95% bootstrap support.
Gevab: a prototype genome variation analysis browsing server
Kim, Woo-Yeon,Kim, Sang-Yoon,Kim, Tae-Hyung,Ahn, Sung-Min,Byun, Ha Na,Kim, Deokhoon,Kim, Dae-Soo,Lee, Yong Seok,Ghang, Ho,Park, Daeui,Kim, Byoung-Chul,Kim, Chulhong,Lee, Sunghoon,Kim, Seong-Jin,Bhak, BioMed Central 2009 BMC bioinformatics Vol.10 No.suppl15
<P><B>Background</B></P><P>The first Korean individual diploid genome sequence data (KOREF) was publicized in December 2008.</P><P><B>Results</B></P><P>A Korean genome variation analysis and browsing server (Gevab) was constructed as a database and web server for the exploration and downloading of Korean personal genome(s). Information in the Gevab includes SNPs, short indels, and structural variation (SV) and comparison analysis between the NCBI human reference and the Korean genome(s). The user can find information on assembled consensus sequences, sequenced short reads, genetic variations, and relationships between genotype and phenotypes.</P><P><B>Conclusion</B></P><P>This server is openly and publicly available online at http://koreagenome.org/en/ or directly http://gevab.org.</P>
GPS CNAV 데이터를 이용한 저궤도 위성의 위치와 속도의 좌표 변환
김강호 ( Ghang Ho Kim ),김종원 ( Chong Won Kim ),기창돈 ( Chang Don Kee ),최수진 ( Su Jin Choi ) 한국항행학회 2013 韓國航行學會論文誌 Vol.17 No.3
본 논문에서는 새롭게 추가될 GPS civil signal 에 실릴 civil navigation message 중에서 Earth Orientation Parameter를 이용하여 ECEF 좌표계에서의 위치를 ECI로 변환하는 알고리즘을 설명하고 시뮬레이션을 통해서 결과를 분석하였다. Civil navigation message에 실릴 예정인 EOP를 이용하기 위해서는 GPS 시간을 UTC로 변환하여야 하고 좌표 변환의 중간 단계별로 필요한 여러 종류의 시간과 EOP 데이터를 활용할 수 있어야 한다. 알고리즘의 검증은 Earth Orientation Center에서 제공하는 EOP 데이터를 GPS CNAV에 실린 가상의 EOP 데이터로 가정하고 이를 이용하여 저궤도 위성의 위치와 속도를 변환하고 그 결과를 분석하였다. In this paper, ECEF to ECI coordinate transformation algorithm which uses EOP parameters in GPS civil navigation message is introduced, and ECEF to ECI coordinate transformation simulation results were analyzed. The ECEF to ECI coordinate transformation includes GPS to UTC, and UTC to other types of time conversions and EOP data processing algorithms. The ECEF to ECI coordinate conversion algorithm was certified using real LEO satellite position, velocity GPS data, and EOP data which offered by the Earth Orientation Center.
Basic phenotyping platform for genetically engineered mouse at KRIBB
Hae Rim Kim,Eun Kyoung Kim,Yong Sub Byun,Kang Ju Seong,Ju Young Lee,Yu Rim Kim,Min Young Lee,Sang Mi Cho,Taek Chang Lee,Hae Jin Lee,Young Ho Kho,Ok Seong Moon,Young Won Seo,Ki Hoon Lee,Hoyoung Ghang,W 한국실험동물학회 2015 한국실험동물학회 학술발표대회 논문집 Vol.2015 No.8
Behavioral alterations by Importin-11 mutation in mice
Ju-Young Lee,Eun-Kyoung Kim,Yong-Sub Byun,Hae-Rim Kim,Yu-Rim Kim,Min-Young Lee,Sang-Mi Cho,Ho-Young Ghang,Ki-Hoon Lee,Ok-Seong Moon,Young-Won Seo,Won-Kee Yoon,Young-Suk Won,Hyoung-Chin Kim,Bae-Hwan Ki 한국실험동물학회 2016 한국실험동물학회 학술발표대회 논문집 Vol.2016 No.2