Accuracy Improvement of GPS/INS Navigation System Using Extended Kalman Filter
| Autor: | Pouya Abbasi, Mohammad Haeri |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
0209 industrial biotechnology
Computer science Orientation (computer vision) business.industry 020208 electrical & electronic engineering GPS/INS Navigation system 02 engineering and technology Sensor fusion Computer Science::Robotics Noise Extended Kalman filter 020901 industrial engineering & automation 0202 electrical engineering electronic engineering information engineering Global Positioning System Computer vision Artificial intelligence business Inertial navigation system |
| Zdroj: | 2019 6th International Conference on Control, Instrumentation and Automation (ICCIA). |
| DOI: | 10.1109/iccia49288.2019.9030830 |
| Popis: | Inertial navigation is a method for determining position and orientation of a vehicle, which operates according to Newton’s laws of motion. Due to continual increase of output error because of measurement noise, bias, misalignment and so on, one may need one or more additional navigation systems to improve accuracy in long-term navigation. In this paper, the error compensation based on GPS/INS data fusion algorithm is studied. Then, by designing a DSP processor-based hardware, GPS and INS data are recorded and GPS/INS data fusion algorithm is implemented. Results indicate that the accuracy of the positioning is improved and position, velocity, and orientation errors are confined to a limited range. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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