• 한국항해항만학회:학술대회논문집
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• 한국항해항만학회 2006년도 International Symposium on GPS/GNSS Vol.2
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• pp.3-8
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• 2006

The next decade promises drastic improvements and additions to global navigation satellite systems (GNSS). Plans for GPS modernization include a civilian code measurement on the L2 frequency and a new L5 signal at 1176.45 MHz. Current speculations indicate that a fully operational constellation with these improvements could be available by 2013. Simultaneously, the Galileo Joint Undertaking is in the development and validation stages of introducing a parallel GNSS called Galileo. Galileo will also transmit freely available satellite navigation signals on three frequencies and is scheduled to be fully operational as early as 2008. In other words, a dual system receiver (e.g., GPS+GALILEO) for general users can access six civil frequencies transmitted by at least fifty eights navigation satellites in space. The advent of GALILEO and the modernization of GPS raise a lot of attention to the study of the compatibility and interoperability of the two systems. A number of performance analyses have been conducted in a global scale with respect to availability, reliability, accuracy and integrity in different simulated scenarios (such as open sky and urban canyons) for the two systems individually and when integrated. Therefore, the scope of this article aims at providing the technical benefits analysis for Taiwan specifically in terms of the performance indices mentioned above in a local scale, especially in typical urban canyon scenarios. The conclusions gained by this study will be applied by the Land Survey Bureau of Taiwanese as the guideline for developing future GNSS tracking facilities and dual GNSS processing module for precise surveying applications in static and kinematic modes.

• International Journal of Aeronautical and Space Sciences
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• 제16권3호
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• pp.437-444
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• 2015

Satellite selection and exclusion techniques have been applied to the global navigation satellite system (GNSS) with the aim of achieving a balance between navigational performance and computational efficiency. Conventional approaches to satellite selection based on the best dilution of precision (DOP) are excessively computational and complicated. This paper proposes a new method that applies a geometric sensitivity index of individual GNSS satellites. The sensitivity index is derived using the inner product of the line of sight (LOS) vector of each satellite. First, the LOS vector is computed, which accounts for the geometry between the satellite and user positions. Second, the inner product of each pair of LOS vectors is calculated, which indicates the proximities of the satellites to one another. The proximity can be determined according to the sensitivity of each satellite. A post-processing test was conducted to verify the reliability of the proposed method. The proposed index and the results of a conventional approach that measures the dilution of precision (DOP) were compared. The test results demonstrate that the proposed index produces results that are within 96% of those of the conventional approach and reduces the computational burden. This index can be utilized to estimate the sensitivity of individual satellites, obtaining a navigation solution. Therefore, the proposed index applies to satellite selection and exclusion as well as to the sensitivity analyses of multiple GNSS applications.

• 한국측량학회지
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• 제35권5호
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• pp.423-430
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• 2017

Recently, data analysis research has been carried out using the deep learning technique in various fields such as image interpretation and/or classification. Various types of algorithms are being developed for many applications. In this paper, we propose a precipitation prediction algorithm based on deep learning with high accuracy in order to take care of the possible severe damage caused by climate change. Since the geographical and seasonal characteristics of Korea are clearly distinct, the meteorological factors have repetitive patterns in a time series. Since the LSTM (Long Short-Term Memory) is a powerful algorithm for consecutive data, it was used to predict precipitation in this study. For the numerical test, we calculated the PWV (Precipitable Water Vapor) based on the tropospheric delay of the GNSS (Global Navigation Satellite System) signals, and then applied the deep learning technique to the precipitation prediction. The GNSS data was processed by scientific software with the troposphere model of Saastamoinen and the Niell mapping function. The RMSE (Root Mean Squared Error) of the precipitation prediction based on LSTM performs better than that of ANN (Artificial Neural Network). By adding GNSS-based PWV as a feature, the over-fitting that is a latent problem of deep learning was prevented considerably as discussed in this study.

• Journal of Positioning, Navigation, and Timing
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• 제13권1호
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• pp.63-73
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• 2024

NeQuick G is the ionosphere model utilized by Galileo single-frequency users to estimate the ionospheric delay on each user-satellite link. The model is characterized by the effective ionization level (Az) index, determined by a modified dip latitude (MODIP) and broadcast coefficients derived from daily global space weather observations. However, globally fitted Az coefficients may not accurately represent ionosphere within local area. This study introduces a method for regional ionospheric modeling that searches for locally optimized Az coefficients. This approach involves fitting TEC output from NeQuick G to TEC data collected from GNSS stations around Korea under various ionospheric conditions including different seasons and both low and high solar activity phases. The optimized Az coefficients enable calculation of the Az index at any position within a region of interest, accounting for the spatial variability of the Az index in a polynomial function of MODIP. The results reveal reduced TEC estimation errors, particularly during high solar activity, with a maximum reduction in the RMS error by 85.95%. This indicates that the proposed method for NeQuick G can effectively model various ionospheric conditions in local areas, offering potential applications in GNSS performance analyses for local areas by generating various ionospheric scenarios.

• 방송공학회논문지
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• 제21권5호
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• pp.803-815
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• 2016

이 논문에서는 GNSS(global navigation satellite system) 신호를 RF(radio frequency) 대역에서 표본화하여 디지털 영역에서 복조하는 직접 RF 표본화 수신기를 설계하고 그 성능을 살펴보고자 한다. 직접 RF 표본화 방식은 IF(intermediate frequency) 대역에서 AD(analog to digital) 변환을 하고 복조하는 기존의 IF 변환 방식과 다르게, 아날로그 믹서(mixer)를 전혀 사용하지 않고 안테나 출력인 통과대역 신호를 직접 AD 변환하여 이후의 수신기의 모든 과정을 디지털 영역에서 처리하는 기술이다. IF 변환 방식과 비교하면 하드웨어 구조가 덜 복잡하고 전송환경 변화에 따른 재구성이 가능하며 하나의 AD 변환기를 사용하여 여러 대역의 신호를 동시에 변환할 수 있다는 장점이 있다. 이와 같은 재구성 기능과 동시 수신 기능은 특정 대역의 신호가 적으로부터 전파방해를 받았을 때 후속시스템으로의 빠른 전환이 필요한 군용 시스템에서 매우 중요한 역할을 한다. 한편 여러 대역의 신호를 한 번에 AD 변환하려면 수신하고자 하는 신호의 반송파 주파수, 대역폭, 표본화 후의 중간주파수 그리고 보호 대역 등을 고려하여 표본화 주파수를 정하는 것이 중요하다. 이 논문에서는 GPS L1, GLONASS G1 및 G2 등의 GNSS 신호를 동시에 수신할 수 있는 표본화 주파수를 선택하고 이를 적용한 직접 RF 표본화 수신기를 설계한다. 또한 설계한 수신기를 상용 AD 변환기와 소프트웨어를 사용하여 구현한 후 실제 신호의 수신시험을 통해 수신 성능을 살펴본다.

• 한국항해항만학회:학술대회논문집
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• 한국항해항만학회 2006년도 International Symposium on GPS/GNSS Vol.2
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• pp.211-215
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• 2006

In this paper, design and applications of a generalized, versatile and customizable IF signal generator that can model the modernized GPS and Galileo signal is given. It generates IF sampled data that can be directly used by a software receiver. Entire constellation of satellites which is independent of satellite-user geometry is easily determined using a real or simulated ephemeris data. Since the IF center frequency, sampling frequency and quantization bit number are user location dependent parameters, their effects are also considered in IF signal generator. The generalized IF signal generator will be very well suited for the development phase of a software receiver due to its versatility. The full access to the sampling frequency, front-end filter definition and ADC parameters also offers a great opportunity for cost-effective analysis of tracking loops and error mitigation techniques at the receiver level. Interference sources can be easily added to the generator to simulate specific environments. This software IF signal generator can also be used to feed a multi-frequency multi-system software receiver for the prototyping of a combined GPS/Galileo receiver. The test result using the generated signals and a real software receiver shows the effectiveness of the implemented IF signal generator.

• Journal of Astronomy and Space Sciences
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• 제30권3호
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• pp.207-212
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• 2013

Ionosphere is one of the largest error sources when the navigational signals produced by Global Positioning System (GPS) satellites are transmitted. Therefore it is very important to estimate total electron contents (TEC) in ionosphere precisely for navigation, precise positioning and some other applications. When we provide ionospheric TEC values in real-time, its application can be expanded to other areas. In this study we have used data obtained from nine Global Navigation Satellite System (GNSS) reference stations which have been operated by Korea Astronomy and Space Science Institute (KASI) to detect ionospheric TEC over South Korea in real-time. We performed data processing that covers converting 1Hz raw data delivered from GNSS reference stations to Receiver INdependent Exchange (RINEX) format files at intervals of 5 minutes. We also analyzed the elevation angles of GPS satellites, vertical TEC (VTEC) values and their changes.

• 제어로봇시스템학회논문지
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• 제12권9호
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• pp.898-904
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• 2006

Ionospheric storms, caused by the interaction between Solar and geomagnetic activities, may degrade the differential GNSS(Global Navigation Satellite Systems) performance significantly, and the importance of the ionospheric storm research is growing for the GBAS(Ground-Based Augmentation System) and SBAS(Satellite-Based Augmentation System) development. In order to support Korean GNSS augmentation system development, a software tool for analyzing the regional ionosphere is being developed and its preliminary results are discussed. After brief description of the ionosphere and ionospheric storm, the research topics on the GBAS applications are discussed. The need for ionospheric spatial gradient analysis is described and some results on the ionospheric spatial gradient during recent storm periods are discussed.

• 한국항공우주학회지
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• 제37권7호
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• pp.678-684
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• 2009

GNSS 반송파 위상 측정치를 사용하는 정밀 측위 혹은 자세결정에서 미지정수의 결정이 반드시 필요하며 많은 연구가 진행되었다. 그러나 한번 구해진 미지정수는 위성 추적상태가 변화하지 않으면 상수로 계속 사용할 수 있으므로 미지정수 검색과정을 통하지 않고 이미 구해진 미지정수를 사용할 수 있다. 본 논문에서는 ARCE를 변형하여 한번 구해진 미지정수와 새로운 측정치를 이용하여 환경 변화에서도 미지정수를 재구성할 수 있는 미지정수 전파기법을 제안하였다. 초기 미지정수는 LAMBDA로 구하며 신뢰도 향상을 위하여 여러 epoch 동안 연속해서 비율검사를 통과한 미지정수를 사용한다. 한번 구해진 미지정수는 위성의 배치, 위성 신호의 단락 등의 변화에도 미지정수 검색기법을 통하지 않고 제안한 기법을 사용하여 계속 유지될 수 있다. 이로 인하여 미지정수 결정의 성공률이 향상되며 계산량이 감소되는 효과를 얻을 수 있다. 실제 측정치를 이용한 실험으로 제안한 방법은 효과적인 방법임을 확인하였다.

• Journal of Astronomy and Space Sciences
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• 제25권3호
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• pp.291-298
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• 2008

민간과 상업응용분야의 성장과 함께 위치정보, 항법 그리고 시각정보를 제공하는 전지구 위성 항법시스템(GNSS)은 우리의 삶에 많은 영향을 주고 있다. 사용자들의 요구사항을 맞추기 위해 10cm급의 정확도를 갖는 새로운 측위기술이 적용되고 있으며, 측위정확도는 더욱 향상 되어가고 있다. 이 연구에서는 GPS L1 수신기 사용자의 측위정확도 향상을 위해 두개의 GPS 기준국 (DAEJ, SUWN) 관측정보를 이용하였고, 한반도내 넓은 범위의 실험지역으로부터 얻어진 데이터를 자료처리 하였다. 결과적으로 이중 GPS 기준국에 의해 산출된 조합해가 단일 기준국에 의한 결과보다 향상된 위치정확도를 보였다.