Samsung electronics co., ltd. (20240192382). APPARATUS AND METHOD FOR DETECTING RECEPTION ENVIRONMENT OF SMALL AND MOBILE GNSS RECEIVER simplified abstract
Contents
- 1 APPARATUS AND METHOD FOR DETECTING RECEPTION ENVIRONMENT OF SMALL AND MOBILE GNSS RECEIVER
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 APPARATUS AND METHOD FOR DETECTING RECEPTION ENVIRONMENT OF SMALL AND MOBILE GNSS RECEIVER - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Key Features and Innovation
- 1.6 Potential Applications
- 1.7 Problems Solved
- 1.8 Benefits
- 1.9 Commercial Applications
- 1.10 Prior Art
- 1.11 Frequently Updated Research
- 1.12 Questions about GNSS Receiver Technology
- 1.13 Original Abstract Submitted
APPARATUS AND METHOD FOR DETECTING RECEPTION ENVIRONMENT OF SMALL AND MOBILE GNSS RECEIVER
Organization Name
Inventor(s)
APPARATUS AND METHOD FOR DETECTING RECEPTION ENVIRONMENT OF SMALL AND MOBILE GNSS RECEIVER - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240192382 titled 'APPARATUS AND METHOD FOR DETECTING RECEPTION ENVIRONMENT OF SMALL AND MOBILE GNSS RECEIVER
Simplified Explanation
A GNSS receiver processes satellite signals to determine the user's position based on the reception environment.
- Signal processing module receives and processes satellite signals into baseband signals.
- Classification module uses machine learning to determine reception environment based on user and satellite features.
- Position calculation module calculates user's position using baseband signal and environment information.
Key Features and Innovation
- Utilizes machine learning to determine reception environment based on user and satellite features.
- Calculates user's position accurately using baseband signal and environment information.
Potential Applications
- Navigation systems for outdoor activities.
- Location tracking for logistics and transportation.
- Emergency response systems for accurate positioning.
Problems Solved
- Improves accuracy of user positioning in varying reception environments.
- Enhances reliability of GNSS receivers in challenging conditions.
Benefits
- Increased accuracy in determining user's position.
- Improved performance in challenging reception environments.
- Enhanced user experience in navigation and location tracking.
Commercial Applications
This technology can be used in GNSS navigation systems for outdoor activities, logistics, and emergency response, enhancing accuracy and reliability.
Prior Art
Prior research in machine learning applications in GNSS receivers for improving positioning accuracy.
Frequently Updated Research
Ongoing research on optimizing machine learning algorithms for better reception environment classification in GNSS receivers.
Questions about GNSS Receiver Technology
How does machine learning improve the accuracy of user positioning in GNSS receivers?
Machine learning algorithms analyze user and satellite features to determine the reception environment, leading to more accurate position calculations.
What are the potential challenges in implementing machine learning in GNSS receivers for real-time positioning?
Implementing real-time machine learning algorithms in GNSS receivers may require efficient processing capabilities and continuous model updates to adapt to changing environments.
Original Abstract Submitted
a gnss (global navigation satellite system) receiver includes a signal processing module that receives a satellite signal from a satellite, processes the received satellite signal into a baseband signal, and outputs the baseband signal as input data. a classification module determines a reception environment of the satellite signal through a machine learning model by extracting a plurality of features related to motion characteristics of a user wearing the gnss receiver (for example, user speed and acceleration) and features of the satellite (for example, number of visible satellites) and outputs environment information. the environment information indicates reception environment. a position calculation module calculates, based on the baseband signal and the environment information, position information of the user corresponding to the position of the gnss receiver.
