• Journal of Positioning, Navigation, and Timing
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• 제12권2호
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• pp.141-148
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• 2023

In this paper, impacts of tropospheric delay gradient correction on PPP positioning performance were analyzed. A correction for tropospheric delay error due to the gradient was created and applied using external data, and reference station data were collected on a sunny day and a rainy day to analyze the GPS only dual-frequency PPP positioning results. As a result, on the sunny day, the convergence time was about 35 minutes and the final 3D position error was 10 cm, regardless of whether the correction for the tropospheric delay error by the gradient was applied. On the other hand, on the rainy day, the 3D position error converges only when the correction was applied, and the convergence time was about 34 minutes. Furthermore, the final 3D position error was improved from 30 cm to 10 cm. In addition, the analysis of the PPP by reference station location on the rainy day showed that the PPP positioning performance was improved when the correction was applied to a user located in an area where the weather changes.

• Journal of Positioning, Navigation, and Timing
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• 제4권1호
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• pp.33-41
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• 2015

Compact Network Real-Time Kinematic (RTK) is a method that combines compact RTK and network RTK, and it can effectively reduce the time and spatial de-correlation errors. A network RTK user receives multiple correction information generated from reference stations that constitute a network, calculates correction information that is appropriate for one's own position through a proper combination method, and uses the information for the estimation of the position. This combination method is classified depending on the method for modeling the GPS error elements included in correction information, and the user position accuracy is affected by the accuracy of this modeling. Among the GPS error elements included in correction information, tropospheric delay is generally eliminated using a tropospheric model, and a combination method is then applied. In the case of a tropospheric model, the estimation accuracy varies depending on the meteorological condition, and thus eliminating the tropospheric delay of correction information using a tropospheric model is limited to a certain extent. In this study, correction information modeling accuracy performances were compared focusing on the Low-Order Surface Model (LSM), which models the GPS error elements included in correction information using a low-order surface, and a modified LSM method that considers tropospheric delay characteristics depending on altitude. Both of the two methods model GPS error elements in relation to altitude, but the second method reflects the characteristics of actual tropospheric delay depending on altitude. In this study, the final residual errors of user measurements were compared and analyzed using the correction information generated by the various methods mentioned above. For the performance comparison and analysis, various GPS actual measurement data were collected. The results indicated that the modified LSM method that considers actual tropospheric characteristics showed improved performance in terms of user measurement residual error and position domain residual error.

• 한국항행학회논문지
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• 제20권1호
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• pp.23-28
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• 2016

본 논문에서는 한반도 지역에서 SBAS (satellite based augmentation system) 대류층 지연 보정 모델의 정확도 성능을 검증하였다. 정확도 분석을 위한 대류층 지연량 참값으로 IGS (International GNSS Service)에서 제공하는 정밀 대류층 천정 지연량인 ZPD(zenith path delay) 데이터를 활용하였다. 그리고 대표적인 대류층 지연 모델인 Saastamoinen 모델 및 Hopfield 모델과 성능을 비교하였다. 그 결과 SBAS 대류층 지연 보정 모델의 잔여 오차는 약 50 mm 수준으로, Saastamoinen 모델 및 Hopfield 모델보다 성능이 떨어졌다. 이 대류층 지연 모델에 의한 잔여오차는 SBAS 정확도 요구조건에는 문제가 없지만, 사용자 측위 성능에는 영향을 미칠 수 있다. 만약 한반도 기상 환경에 적합하도록 SBAS 대류층 보정 모델의 기상 파라미터를 수정한다면, 더 좋은 성능의 SBAS 서비스를 한반도에 제공할 수 있을 것으로 기대된다.

• 한국군사과학기술학회지
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• 제19권2호
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• pp.163-170
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• 2016

Tropospheric delay is one of the largest error source in pseudolite navigation system. Because a pseudolite is installed on the ground and transmits its signal to a user in the air or on the ground, the conventional tropospheric delay model developed for a satellite navigation doesn't work properly. In this paper, performance analysis of several pseudolite tropospheric delay models has been done using meteorological data. Based on the result, a new compensation method for Hopfield model has been proposed.

• Journal of Positioning, Navigation, and Timing
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• 제10권4호
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• pp.271-278
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• 2021

In this paper, a tropospheric delay error was calculated by using meteorological data collect from weather station and Saastamoinen model, and an empirical variogram of the tropospheric delay in the Korean peninsula was estimated. In order to estimate the empirical variogram of the tropospheric delay according to weather condition, sunny day, rainy day, and typhoon day were selected as analysis days. Analysis results show that a maximum correlation range of the empirical variogram on sunny day was about 560 km because there is overall trend of the tropospheric delay. On the other hand, the maximum correlation range of the empirical variogram on rainy was about 150 km because the regional variation was large. Although there is regional variation when the typhoon exists, there is a trend of the tropospheric delay due to a movement of the typhoon. Therefore, the maximum correlation range of the empirical variogram on typhoon day was about 280 km which is between sunny and rainy day.

• 한국항해항만학회지
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• 제40권5호
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• pp.271-278
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• 2016

Localized atmospheric conditions between multi-reference stations can bring the tropospheric delay irregularity that becomes an error terms affecting positioning accuracy in network RTK environment. Imbalanced network error can affect the network solutions and it can corrupt the entire network solution and degrade the correction accuracy. If an anomaly could be detected before the correction message was generated, it is possible to eliminate the anomalous satellite that can cause degradation of the network solution during the tropospheric delay anomaly. An atmospheric grid that consists of four meteorological stations was used to detect an inhomogeneous weather conditions and tropospheric anomaly applied AWSs (automatic weather stations) meteorological data. The threshold of anomaly detection algorithm was determined based on the statistical weather data of AWSs for 5 years in an atmospheric grid. From the analytic results of anomaly detection algorithm it showed that the proposed algorithm can detect an anomalous satellite with an anomaly flag generation caused tropospheric delay anomaly during localized atmospheric conditions between stations. It was shown that the different precipitation condition between stations is the main factor affecting tropospheric anomalies.

• Journal of Positioning, Navigation, and Timing
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• 제2권1호
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• pp.49-57
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• 2013

When pseudolite navigation system is applied to wide area, the tropospheric delay is the main error factor. In this study, we experimentally compared and analyzed the performance of the conventional pseudolite tropospheric delay models. The integration method using radiosonde meteorological data was suggested to derive the reference value for the comparison and analysis. Flight tests were carried out to analyze the performance of the tropospheric delay models according to the elevation angle and distance conditions between the user receiver and the pseudolite. As the results of this study, we provided the basis for the choice of tropospheric delay model appropriate to the relative location characteristics of the pseudolite and the user.

• 한국항해항만학회지
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• 제40권5호
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• pp.265-270
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• 2016

Extreme tropospheric anomalies such as typhoons or regional torrential rain can degrade positioning accuracy of the GPS signal. It becomes one of the main error terms affecting high-precision positioning solutions in network RTK. This paper proposed a detection algorithm to be used during atmospheric anomalies in order to detect the tropospheric irregularities that can degrade the quality of correction data due to network errors caused by inhomogeneous atmospheric conditions between multi-reference stations. It uses an atmospheric grid that consists of four meteorological stations and estimates the troposphere zenith total delay difference at a low performance point in an atmospheric grid. AWS (automatic weather station) meteorological data can be applied to the proposed tropospheric anomaly detection algorithm when there are different atmospheric conditions between the stations. The concept of probability density distribution of the delta troposphere slant delay was proposed for the threshold determination.

• 한국지구과학회지
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• 제21권4호
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• pp.380-388
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• 2000

이 연구는 GPS를 이용한 서울-제천지역에 대한 대류층 천정 지연 분석에 관한 것이다. 다양한 기상조건하에서 정확도를 보장하는 GPS 측위를 위하여 대류층 천정 지연과 GPS 정밀도와의 연관성을 분석하였다. Bernese 4.0소프트웨어로 산출한 대류층 천정 지연값의 증가시 GPS 측위 오차도 증가하였다. 대류층에 의한 오차는 평균 20 cm 였으며, 보정 모델 사용시 모두 5cm 범위내로 줄일 수 있었으며, 보정 모델 간에는 차이가 거의 없었다. GPS 측위오차와 대류층 천정 지연의 상관관계를 밝힘으로써 전선의 이동상황을 모니터링할 수 있으며 이는 GPS 기준망의 확장으로 가능할 것이다.

• 한국측량학회지
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• 제39권1호
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• pp.23-28
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• 2021

최근 딥러닝을 활용한 데이터 분석 연구가 다양한 분야에서 진행되고 있다. 본 논문에서는 딥러닝 모델인 MLP (Multi-Layer Perceptron)와 LSTM (Long Short-Term Memory) 모델을 통해 ZWD (Zenith tropospheric Wet Delay)을 추정함으로써 딥러닝을 활용한 GNSS (Global Navigation Satellite System) 기반 기상 연구를 수행하였다. 딥러닝 모델은 기상 데이터와 천정방향 대류권 총 지연, 건조지연을 통해 추정한 ZWD로 학습되었고, 학습에 사용되지 않은 기상 데이터를 학습된 모델에 적용하여 두 모델에서 센티미터 수준의 RMSE (Root Mean Square Error)로 ZWD 결과를 산출하였다. 추후 해안지역의 GNSS 데이터를 함께 사용하고 시간 해상도를 높여 다양한 상황에서도 ZWD가 추정될 수 있도록 추가적인 연구가 수행될 필요가 있다.