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Activities on GNSS Implementation in Korea APEC GIT/15 Meeting June 13~17, 2011 June 13~17, 2011 Brisbane, Australia The 15th Meeting of the APEC GNSS.

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Presentation on theme: "Activities on GNSS Implementation in Korea APEC GIT/15 Meeting June 13~17, 2011 June 13~17, 2011 Brisbane, Australia The 15th Meeting of the APEC GNSS."— Presentation transcript:

1 Activities on GNSS Implementation in Korea APEC GIT/15 Meeting June 13~17, 2011 June 13~17, 2011 Brisbane, Australia The 15th Meeting of the APEC GNSS Implementation Team(GIT/15) June 14, 2011 Sofitel Brisbane Central, Brisbane, Australia Giwook Nam, Ph.D.

2 I. GBAS Implementation II. High Precision DGPS III. GNSS Application

3 I. GBAS Implementation

4 Background for GBAS Program Safety Issue – No ILS due to the terrain – CFIT Accidents (ASIANA Airline in 1992, Air China in 1996) Capacity & Other Issues – Air Traffic increases 5% per year – More fuel consumption and CO2 emission

5 History of GBAS Activity R&D for Academic Purpose – Develop GBAS prototype and T&E – Building experience and knowledge, gathering data for implementation of GBAS commercial service ’98 ’99 ’00 ’02 ’04 ’05 ’06 ’07 ’08 ’09 ’ 10 GBAS Test-Bed I (1998~2000) DGPS Receiver (2001~2004) GBAS Test-Bed II (2003~2007) 1 2 3 4 GBAS Test-Bed II in Jeju Airport (2008~)

6 GBAS Implementation Program Objectives – GBAS CAT-I Implementation for Commercial Service – Establish regulatory process for GBAS implementation Period : Oct. 2010 ~ Sep. 2014 (4 Years) International Collaboration : AsA, Honeywell Candidate Airport : Kimpo (Traffic), Kimhae (Safety)

7 Milestone of GBAS Implementation Program Facility Approval with Certified GBAS Independent Monitor Unit Operational Approval 2011 Site Assessment 2012 Installation 2013 Flight Inspection 2014 T&E 2012 GLS Procedure 2013 ATC/Pilot Training 2014 Flight Trial

8 II. High Precision DGPS

9 Objective Provide the precise and reliable positioning service Capable of recognizing lane on the road Open Filed Urban Canyon Low Signal Strength Intermittent Signal Blockage Phase 1 Phase 2 Development of HADGPS technologies to recognize lane in Good GNSS Signal Environment Development of receiver technologies to recognize lane in Bad GNSS Signal Environment Very Weak Signal

10 The System Concept ① Satellite Orbit Error ② Satellite Clock Error Signal Block ④ Ionosphere Error ⑤ Atmosphere Error ⑦ Multipath ⑧ Receiver Error Master StationUsers ③ Satellite Data Error ⑥ Signal Deformation ① ∼ ⑥ common Signal Acquisition Signal Acquisition Reference Master Station Application Display ) 0.45 0.33 U-Transportation Smart Highway U-Transportation Smart Highway Digital Map ① ∼ ⑥ Error Correction ⑦ ∼ ⑧ Error Correction Networked Carrier Phase DGPS

11 Research Status 2011 year 2010 year Field Test under Real Road Environment - Development of Test Equipments - Real Data Acquisition on the Road - Data Processing for Precise Positioning Develop Simulation Environment - Modeling GNSS Signal Error Condition - Generating the GNSS Signal with Error - Evaluating Algorithms through Simulation On Going Reference & Master Station Test User Digital Map HDGPS Master Station GNSS Signal Generation Reference Station User Receiver Correction Message

12 KARI-JAXA Collaboration KARI – Use QZSS as test platform to broadcast correction message – To improve the position Accuracy in Urban Canyon Environment JAXA – Test QZSS performance in Korea 12

13 III. GNSS Application

14 Detect and Prevent React to Disaster Development of GNSS application technology to improve public safety Aviation Marine Road Solving national issues with GNSS technology GPS Jamming Tsunami Collision Vehicle Accident

15 Veer off Roll OverJack Knifing Give warning to drivers Mitigate effect of accident Detect Symptoms of Accident Example of Road Disaster : Accident of Large Vehicles Carrying Dangerous Goods Report Accident to Agency

16 Front GPS/INS Sensor Rear GPS/INS Sensor GPS/INS based precision relative position information GPS/INS based precise location information Veer off Detection Jack Knifing Detection Accuracy: <30~40cm Accuracy: <many cm Concept of Detecting Symptoms of Car Accident Real-time simulator Roll over Detection

17 Thank you


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