• Journal of Positioning, Navigation, and Timing
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• 제9권2호
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• pp.125-129
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• 2020

In this paper, Zero velocity UPdaTe (ZUPT) is implemented on the navigation system of Remotely Piloted Aircraft for GNSS denied environment. RPA's navigation system suffers from lack or loss of satellite signal while maintenance or ground test inside a hangar. Although some of the hangars install GPS repeaters for indoor tests, the anti-jamming equipment with array antenna blocks the repeater signal regarding them as hostile jamming signal. With ZUPT, an aircraft navigation system can be tested free from the divergence of navigation solution without line-of-sight satellites. The designed ZUPT aided centralized Kalman Filter is implemented on the Embedded GPS&INS and simulated with Captive Flight Test data. The simulation result shows stable navigation solution without GNSS updates.

• 한국위성정보통신학회논문지
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• 제4권1호
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• pp.36-44
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• 2009

본 논문에서는 위성항법신호감시국에 대한 핵심기술인 FPGA 기반의 위성항법수신기를 구현하여 갈릴레오 E1 및 E5 신호처리 동작검증 및 처리결과를 제시하였다. 성능 검증을 위해 시제품 형태의 위성항법안테나, 112MHz 샘플링 주파수 및 8비트 양자화 레벨을 제공하는 RF/IF 유니트를 이용하여 갈릴레오 시험위성인 지오베-B(GIOVE-B)로부터 E1 및 E5를 수신하여 이용하였고, 수신된 데이터에 대한 신호처리 수행을 통해, FPGA 기반의 항법수신기 모듈에서 갈릴레오 E1 및 E5 신호가 정상적으로 동작됨을 입증하였다.

• Journal of Positioning, Navigation, and Timing
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• 제3권2호
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• pp.63-69
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• 2014

In this study, due to the necessity of the equipment for inspecting an anti-jamming function depending on the expansion of the development of anti-jamming systems, an array antenna hood that can inspect the anti-jamming function of an anti-jamming system while being installed at the system was designed and manufactured. The manufactured array antenna hood plays a role in radiating GNSS signals and jamming signals. Based on an experiment, it was demonstrated that using a near-field radiation method, the manufactured array antenna hood could be used for examining the normal operation of an anti-jamming system function in outdoor or indoor environments rather than an anechoic chamber.

• 대한공간정보학회지
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• 제21권4호
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• pp.95-100
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• 2013

대기 중의 가강수량은 시 공간적 변동이 크기 때문에 여러 시스템을 이용한 관측이 이루어지고 있다. 이 연구에서는 GNSS 시스템인 GPS와 GLONASS의 신호를 각각 그리고 통합 이용하여 가강수량을 산출하고 다른 관측시스템의 측정값과 상호비교하여 정확도를 검증하였다. 비교 관측시스템으로 라디오존데와 마이크로파 복사계를 이용하였고 세 개의 시스템은 동일한 장소에 설치되어 있어 상호간의 비교 및 관측값 특성을 분석하는데 용이하였다. 각 시스템 별로 측정한 가강수량은 평균 0.6mm-3.4mm 차이를 보였고 표준편차는 1.0mm-3.8mm로 나타났다. GNSS 측정값이 다른 두 시스템의 측정값에 비해 상대적으로 큰 차이를 보였는데 이는 실험에 사용된 GNSS 안테나가 국제적으로 제공되는 안테나 위상중심변동 모델 테이블에 존재하지 않는 모델이었기 때문으로 판단된다. 향후 안테나 위상중심변동 모델이 적용 가능한 안테나를 사용할 경우 GPS/GLONASS 통합자료처리를 통해 가강수량 산출 정확도 향상 및 GPS 위성관측이 제한적인 곳에서도 유효한 결과 획득이 가능할 것으로 사료된다.

• 한국통신학회논문지
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• 제37C권9호
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• pp.811-820
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• 2012

GNSS 신호는 구조가 개방되어 있을 뿐만 아니라 수신 신호 세기가 미약하여 전파교란에 취약하다. 이에 따라 전파교란에 대한 영향 분석 및 대응 기법에 대한 연구의 필요성이 증대되고 있다. 본 논문에서는 실제 전파교란 환경과 유사한 환경에서의 전파교란 영향 분석을 위하여 6가지 전술 환경에 대한 전파 전파 모델과 이동체의 수신환경을 고려한 동체 차단 모델을 설계 하였다. 전파전파 모델은 도심지역, 농촌지역, 수풀지역, 해안지역, 황무지, 눈/얼음 지역에 대해서 Two-ray 모델을 이용하여 설계 하였다. 동체 차단 모델은 안테나가 이동체에 의하여 받는 영향과 사용자가 직접 입력한 안테나 패턴을 이용하여 모델링하였다. 전파교란이 없는 정상 환경과 전파교란 환경에 대하여 이동체의 수신환경을 고려한 GNSS 신호 생성기의 출력은 상용수신기(NordNav)를 이용하여 검증 하였다. 정상 환경에서는 사용자의 항법 성능이 상용 H/W 신호 생성 시뮬레이터(STR4500)과 유사한 것을 확인하였다. 전파교란 환경에서는 이동체 위치에 따른 동체 차단 효과 및 전파교란 신호에 의한 GNSS 신호 획득 및 추적 손실이 정확히 반영됨을 확인 하였다.

• 한국항행학회논문지
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• 제27권6호
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• pp.740-745
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• 2023

본 연구는 드론의 통신상태 안정화 및 통신거리 확장을 위하여 위성시스템을 활용한 안테나 트래커 시스템 개발을 제시한다. 지상국과 드론 간의 일반적인 고정형 안테나 방식에서 통신 이득을 최대화 하고자 드론과 지상국의 위치정보를 이용하여 자동으로 지상국의 안테나가 드론을 지속적으로 지향할 수 있는 트래커시스템을 개발하였다. 안테나 트래커를 활용하여 통신 상태 안정화를 개선하고 통신거리를 확장함으로써 드론산업 고도화를 가져올 수 있을 것으로 기대된다.

• 한국항해항만학회:학술대회논문집
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• 한국항해항만학회 2006년도 International Symposium on GPS/GNSS Vol.2
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• pp.385-390
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• 2006

This paper examines the sampling and jitter specifications and considerations for Global Navigation Satellite Systems (GNSS) software receivers. Software radio (SWR) technologies are being used in the implementation of communication receivers in general and GNSS receivers in particular. With the advent of new GPS signals, and a range of new Galileo and GLONASS signals soon becoming available, GNSS is an application where SWR and software-defined radio (SDR) are likely to have an impact. The sampling process is critical for SWR receivers, where it occurs as close to the antenna as possible. One way to achieve this is by BandPass Sampling (BPS), which is an undersampling technique that exploits aliasing to perform downconversion. BPS enables removal of the IF stage in the radio receiver. The sampling frequency is a very important factor since it influences both receiver performance and implementation efficiency. However, the design of BPS can result in degradation of Signal-to-Noise Ratio (SNR) due to the out-of-band noise being aliased. Important to the specification of both the ADC and its clocking Phase- Locked Loop (PLL) is jitter. Contributing to the system jitter are the aperture jitter of the sample-and-hold switch at the input of ADC and the sampling-clock jitter. Aperture jitter effects have usually been modeled as additive noise, based on a sinusoidal input signal, and limits the achievable Signal-to-Noise Ratio (SNR). Jitter in the sampled signal has several sources: phase noise in the Voltage-Controlled Oscillator (VCO) within the sampling PLL, jitter introduced by variations in the period of the frequency divider used in the sampling PLL and cross-talk from the lock line running parallel to signal lines. Jitter in the sampling process directly acts to degrade the noise floor and selectivity of receiver. Choosing an appropriate VCO for a SWR system is not as simple as finding one with right oscillator frequency. Similarly, it is important to specify the right jitter performance for the ADC. In this paper, the allowable sampling frequencies are calculated and analyzed for the multiple frequency BPS software radio GNSS receivers. The SNR degradation due to jitter in a BPSK system is calculated and required jitter standard deviation allowable for each GNSS band of interest is evaluated. Furthermore, in this paper we have investigated the sources of jitter and a basic jitter budget is calculated that could assist in the design of multiple frequency SWR GNSS receivers. We examine different ADCs and PLLs available in the market and compare known performance with the calculated budget. The results obtained are therefore directly applicable to SWR GNSS receiver design.

• Journal of Positioning, Navigation, and Timing
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• 제11권4호
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• pp.269-277
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• 2022

In this paper, we overview the system development status of the national maritime precise point positioning-real-time kinematic (PPP-RTK) service in Korea, also known as the Precise POsitioning and INTegrity monitoring (POINT) system. The development of the POINT service began in 2020, and the open service is scheduled to start in 2025. The architecture of the POINT system is composed of three provider-side facilities-a reference station, monitoring station, and central control station-and one user-side receiver platform. Here, we propose the detailed functionality of each component considering unidirectional broadcasting of augmentation data. To meet the centimeter-level user positioning accuracy in maritime coverage, new reference stations were installed. Each reference station operates with a dual receiver and dual antenna to reduce the risk of malfunctioning, which can deteriorate the availability of the POINT service. The initial experimental results of a testbed from corrections generated from the testbed network, including newly installed reference stations, are presented. The results show that the horizontal and vertical accuracies satisfy 2.63 cm and 5.77 cm, respectively. For the purpose of (near) real-time broadcasting of POINT correction data, we designed a correction message format including satellite orbit, satellite clock, satellite signal bias, ionospheric delay, tropospheric delay, and coordinate transformation parameters. The (near) real-time experimental setup utilizing (near) real-time processing of testbed network data and the designed message format are proposed for future testing and verification of the system.

• Journal of Positioning, Navigation, and Timing
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• 제7권1호
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• pp.37-42
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• 2018

This paper proposed a microstrip antenna that can perform jamming of satellite signals from the GPS L5, GLONASS G3, BDS B2 frequency bands (1164 - 1217 MHz) that are employed mainly for military purposes among the GNSS frequencies using unmanned aircrafts over the enemy's sky in time of emergency. The single element in the proposed antenna can be easily mounted to unmanned aircrafts. This study analyzed the characteristics of miniaturization and beam of radiating elements by applying the image theories and perturbation effect to satisfy the uniform level at ${\pm}45^{\circ}$ of beam steering goal due to the phase delay after antenna array. The designed microstrip antenna had a miniaturized radiating element area (x-y plane), which was reduced by 76.3% compared to that of basic microstrip antenna, and its beam width was $190^{\circ}$ in the E-plane and $140^{\circ}$ in the H plane. In addition, the simulation was conducted to determine the characteristics due to the phase delay by arranging the designed single microstrip antenna by $1{\times}4$ array and the results showed that beam steering of ${\pm}45^{\circ}$ is possible in the H-plane on the basis of $0^{\circ}$. Thus, the proposed antenna was verified to be effective in satellite signal jamming in the air as it was attached to the lower end of unmanned aircrafts.

• Journal of Positioning, Navigation, and Timing
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• 제12권2호
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• pp.149-155
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• 2023

In urban areas it can be difficult to utilize global navigation satellite systems (GNSS) due to signal reflections and blockages. It is thus crucial to detect reflected or blocked signals because they lead to significant degradation of GNSS positioning accuracy. In a previous study, a classifier for global positioning system (GPS) signal reception conditions was developed using three features and the support vector machine (SVM) algorithm. However, this classifier had limitations in its classification performance. Therefore, in this study, we developed an improved machine learning based method of classifying GPS signal reception conditions by including an additional feature with the existing features. Furthermore, we applied various machine learning classification algorithms. As a result, when tested with datasets collected in different environments than the training environment, the classification accuracy improved by nine percentage points compared to the existing method, reaching up to 58%.