CIVILEN 6435
Transcript Abbreviation:
GNSS Data Process
Course Description:
Theories and practices in GNSS data processing for high-precision (centimeter-level) static and kinematic applications. In-depth aspects of GNSS code and phase data, observation models, estimation strategy, and some physical phenomenon that affects the data. Data processing routines to estimate various parameters, hand-on experience in analyzing real GNSS data.
Course Levels:
Graduate
Designation:
Elective
General Education Course
(N/A)
Cross-Listings
(N/A)
Credit Hours (Minimum if “Range”selected):
3.00
Max Credit Hours:
3.00
Select if Repeatable:
Off
Maximum Repeatable Credits
(N/A)
Total Completions Allowed
(N/A)
Allow Multiple Enrollments in Term:
No
Course Length:
14 weeks (autumn or spring)
Off Campus:
Never
Campus Location:
Columbus
Instruction Modes:
In Person (75-100% campus; 0-24% online)
Prerequisites and Co-requisites:
Prereq: 5441, Grad standing in CivilEn, or permission of instructor.
Electronically Enforced:
No
Exclusions
(N/A)
Course Goals / Objectives:
Students will be conversant in GNSS data types, error sources, position principle, and estimation strategy
Students will be familiar with GNSS data processing tool suite and software package implementing different algorithms.
Students will obtain in-depth understandings of the full implementation of algorithms in GNSS data analysis
Students will be able to apply a major software package to practical engineering and scientific investigations.
Students will understand developing issues in GNSS positioning principle and methods.
Student will be able to have in-depth understand of the concept and techniques for GNSS algorithm implementation, and be ready to build their own tools.
Check if concurrence sought:
No
Contact Hours:
| Topic | LEC | REC | LAB | LAB Inst |
|---|---|---|---|---|
| - Review – Fundamentals of GNSS positioning (1 week) - GNSS Data and Preprocessing (2 weeks) - Measurement Modelling (2 weeks) | 15.0 | 0.0 | 0.0 | 0 |
| - Parameter Estimation Precision Point Positioning (2 weeks) Kinematic Relative Positioning (2 weeks) High-precision Static Relative Positioning (2 weeks) | 18.0 | 0.0 | 0.0 | 0 |
| - Solution Processing (2 weeks) • A priori constraints • Ambiguity resolution • Solution combination and kinematic modeling (Kalman filter) • Frame projection and transformation tools • Solution statistics | 6.0 | 0.0 | 0.0 | 0 |
| - Review/Final project. Develop GNSS project ideas and draft proposal (2 week) | 6.0 | 0.0 | 0.0 | 0 |
| Total | 45 | 0 | 0 | 0 |
Grading Plan:
Letter Grade
Course Components:
Lecture
Grade Roster Component:
Lecture
Credit by Exam (EM):
No
Grades Breakdown:
| Aspect | Percent |
|---|---|
| Homework assignments | 60% |
| Midterm | 10% |
| Final Project | 30% |
Representative Textbooks and Other Course Materials:
| Title | Author | Year |
|---|---|---|
| No Textbooks and Other Course Materials Entered. | ||
ABET-CAC Criterion 3 Outcomes
(N/A)
ABET-ETAC Criterion 3 Outcomes
(N/A)
ABET-EAC Criterion 3 Outcomes
(N/A)
Embedded Literacies Info
(N/A)
Attachments
(N/A)
Additional Notes or Comments
(N/A)