• 전기학회논문지
• /
• 제60권3호
• /
• pp.612-619
• /
• 2011

Satellite navigation system such as GPS is becoming more important infrastructure for positioning, navigation and timing. But satellite navigation system is vulnerable to interferences because of the low received power, complementary navigation system such as eLoran is needed. In order to develop eLoran/GPS navigation system, integrated eLoran/GPS navigation algorithm is necessary. In this paper, new integrated eLoran/GPS navigation algorithm is proposed. It combines the position domain integration and the range domain integration to get accurate position with less computational burden. Also an eLoran/GPS evaluation platform is designed and performance evaluation of the proposed algorithm using the evaluation platform is given. The proposed algorithm gives an accuracy of the range domain integration with a computational load of the position domain integration.

• 제어로봇시스템학회논문지
• /
• 제12권8호
• /
• pp.752-758
• /
• 2006

A GPS receiver provides much information such as calculated position, speed, heading, status of satellites, current time errors, etc. It is well-known that GPS signals from GPS receiver mounted on moving vehicle are often distorted, contaminated by various noises, and blocked by tunnel or tall buildings. The phenomenon often obstructs correct navigation especially when a vehicle keeps stopping or is moving in low speed. Therefore it is needed to pre-process the signals to adapt it to various applications. In this paper, an algorithm to pre-process the signals is proposed. For this, GPS data obtaining from uNAV GPS receiver are analyzed and classified based on dynamic characteristic. Then, the proposed algorithm is applied to the data and some test results are shown to verify the usefulness of the algorithm.

• 제어로봇시스템학회논문지
• /
• 제17권6호
• /
• pp.610-618
• /
• 2011

For improved localization around the indoor/outdoor transit area of buildings, this paper proposes an efficient algorithm combining the measurements from the WLAN (Wireless Local Area Network) and the GPS (Global Positioning System) for. The proposed hybrid localization algorithm considers both multipath errors and NLOS (Non-Line-of-Sight) errors, which occur in most wireless localization systems. To detect and isolate multipath errors occurring in GPS measurements, the propose algorithm utilizes conventional multipath test statistics. To convert WLAN signal strength measurements to range estimates in the presence of NLOS errors, a simple and effective calibration algorithm is designed to compute conversion parameters. By selecting and combining the reliable GPS and WLAN measurements, the proposed hybrid localization algorithm provides more accurate location estimates. An experiment result demonstrates the performance of the proposed algorithm.

• 제어로봇시스템학회논문지
• /
• 제7권11호
• /
• pp.944-952
• /
• 2001

Inertial navigation system(INS) errors increase with time due to inertial sensor errors, and therefore it is desired to combine INS with external aids such as GPS. However GPS informations have a randomly abrupt jump due to a sudden corruption of the received satellite signals and environment, and moreover GPS can\`t provide navigation solutions. In this paper, smoothing and prediction schemes are proposed for GPS`s jump or unavailable GPS. The smoothing algorithm which is designed as a scalar adaptive filter, smooths abrupt jump. The prediction algorithm which is proved by Schuler error model of INS, estimates INS error in appropriate time. The outputs of proposed algorithm apply stable measurements to GPS aided INS Kalman filter. Simulations show that the proposed algorithm can effectively remove measurement jump and predict INS error.

• 제어로봇시스템학회논문지
• /
• 제14권8호
• /
• pp.745-751
• /
• 2008

This paper presents a framework for GPS/INS/Vision based navigation system of helicopters. GPS/INS coupled algorithm has weak points such as GPS blockage and jamming, while the helicopter is a speedy and high dynamical vehicle amenable to lose the GPS signal. In case of the vision sensor, it is not affected by signal jamming and also navigation error is not accumulated. So, we have implemented an GPS/INS/Vision aided navigation system providing the robust localization suitable for helicopters operating in various environments. The core algorithm is the vision based simultaneous localization and mapping (SLAM) technique. For the verification of the SLAM algorithm, we performed flight tests. From the tests, we confirm the developed system is robust enough under the GPS blockage. The system design, software algorithm, and flight test results are described.

• 한국항공우주학회지
• /
• 제33권7호
• /
• pp.92-97
• /
• 2005

본 논문에서는 6년째 운용되고 있는 아리랑 1호에 탑재된 GPS 수신기의 실제 궤도 상 성능을 분석하였다. 수신기의 환경변수 설정에 따라 지상에서 수행하는 궤도결정 정밀도 변화, GPS 위성 가시성들을 분석하였으며, 실제 궤도에서 운영 중 관측되는 문제점에 대해서 기술하였다. 분석 결과, 항행해를 구하는 Position Fix Algorithm을 ‘Best-of-4’ 로 설정한 상태에서 획득한 항행해를 이용한 지상 궤도결정 정밀도가 ‘N-in-View’ 설정 상태의 결과 보다 약간 높았으며, 이때 ‘Mask Angle'은 0도로 설정하는 것이 유리함을 알 수 있었다. 반면, ‘N-in-View’ 방식하에서는 GPS 위성에 대한 가시성이 조금 높았으며, 일시적인 3D Fix Loss 발생 빈도 수도 상대적으로 적은 것을 알 수 있었다.

• 제어로봇시스템학회논문지
• /
• 제14권1호
• /
• pp.27-35
• /
• 2008

A navigation system is one of the important components of an unmanned ground vehicle (UGV). A GPS receiver collects data signals transmitted by (Earth orbiting) satellites. However, these data signals may contain many errors resulting misinformation and depending on one's position (environment), reception may be impossible. The proposed self-driven algorithm uses three low-cost GPS in order to minimize errors of existing inexpensive single GPS's driving algorithm. By using reliable final data, which is analyzed and combined from each of three GPS's received data signals, gathering a vehicle's steering performance information and its current pin-point position is improved even with error containing signals or from a place where signal gathering is impossible. The purpose of this thesis is to explain navigation system algorithm using multiple GPS and compass sensor and prove the algorithm through experiments.

• 한국항공우주학회지
• /
• 제38권8호
• /
• pp.781-789
• /
• 2010

GPS/INS 통합시스템의 고장검출에는 카이제곱 분포 기반의 알고리즘이 일반적으로 사용된다. 본 논문에서는 기존의 RAIM (Receiver Autonomous Integrity Monitor)과 카이제곱 분포 기반의 알고리즘을 결합하여 무인기용 저급 프로세서에 적용하기 위해 단순화시킨 GPS/INS 고장검출 알고리즘을 제안한다. 제안한 알고리즘의 검증을 위해 고장모델을 사용하여 그 결과를 나타내었다.

• 한국항해항만학회:학술대회논문집
• /
• 한국항해항만학회 2006년도 International Symposium on GPS/GNSS Vol.2
• /
• pp.431-434
• /
• 2006

현재 사용되는 디지털 신호처리 방식의 GPS(Global Positioning System) 수신기는 최소의 RF 블록만을 이용하여 모든 디지털 신호 처리를 소프트웨어로 수행하고 있다. 소프트웨어 GPS수신기의 장점으로는 디지털 신호처리 과정이 모두 소프트웨어로 구현되어 있기 때문에 새로운 구현 방식이나 알고리즘을 적용할 시, 하드웨어 변경은 필요가 없게 되고, 소프트웨어 재설계만으로 가능하다. GPS 수신기의 Tracking module 성능은 DLL discriminator function과 FLL discriminator function의 Algorithm에 의해서 영향을 받게 된다. DLL discriminator function algorithm에는 dot-product 와 normalized dot-product 방법 등이 있으며, FLL discriminator function algorithm에는 sign(dot)(cross)-product 와 cross-product 그리고 ATAN 방법이 있다. 이러한 discriminator function들은 algorithm에 따라 input error에 대한 discriminator의 출력 값을 일정한 범위에서의 차이를 나타내게 되면서 ranging accuracy에서 차이가 나타나게 된다. 본 논문에서는 Nordnav 소프트웨어 GPS 수신기를 이용하여 DLL discriminator algorithm과 FLL discriminator algorithm의 성능을 비교, 분석을 하고 Tracking accuracy, sensibility, 그리고 multipath rejection에 대해서 알아보고자 한다.

• 한국전자통신학회논문지
• /
• 제9권12호
• /
• pp.1373-1380
• /
• 2014

교통정보서비스에서 정확한 통행량과 통행속도를 산출하기 위해서는 기본적으로 제공되는 GPS 데이터의 품질이 보장되어야 한다. 그렇지만, 통신비용의 문제로 인하여 GPS 데이터를 제공하는 Probe 차량으로부터 제한된 GPS 데이터가 제공이 된다면 정확한 정보를 제공하기 어렵다. 본 논문에서는 제한된 GPS 데이터로 인하여 손실되는 링크들을 위상정보와 결합시켜 복원시킨 후, 통행 속도를 산출하는 알고리즘을 개발하였다. 이를 적용한 S시의 T 교통정보서비스는 이전보다 더 정확한 통행량 및 통행 속도를 시민들에게 제공할 수 있게 되었다.