Qualcomm incorporated (20240094414). CARRIER SIGNAL POSITIONING simplified abstract
Contents
- 1 CARRIER SIGNAL POSITIONING
CARRIER SIGNAL POSITIONING
Organization Name
Inventor(s)
Chandrasekhar Jayaram of Bangalore (IN)
Satya Swaroop Yadati of Hyderabad (IN)
CARRIER SIGNAL POSITIONING - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240094414 titled 'CARRIER SIGNAL POSITIONING
Simplified Explanation
The patent application abstract describes a method for resolving integer ambiguities in satellite positioning signals by using candidate float ambiguity values and performing an integer ambiguity search based on the accuracy of these values.
- The method involves receiving signals from satellite positioning systems.
- Candidate float ambiguity values are determined for the signals, indicating potential float numbers of carrier signal wavelengths between the satellites and the mobile device.
- If an integer ambiguity resolution validation check fails based on a subset of the candidate float ambiguity values, an integer ambiguity search is performed using a subset with higher accuracy indications.
- Each candidate float ambiguity value in the second subset corresponds to a higher accuracy indication than those in the first subset.
Potential Applications
This technology can be applied in:
- Satellite navigation systems
- Autonomous vehicles
- Geolocation services
Problems Solved
This technology helps in:
- Improving the accuracy of satellite positioning systems
- Enhancing the reliability of location-based services
- Reducing errors in navigation and tracking applications
Benefits
The benefits of this technology include:
- Increased precision in determining location
- Better performance in challenging signal environments
- Enhanced user experience in navigation applications
Potential Commercial Applications
This technology can be commercially benefit:
- GPS device manufacturers
- Fleet management companies
- Mapping and surveying industries
Possible Prior Art
One possible prior art could be the use of Kalman filtering techniques in satellite positioning systems to improve accuracy and reliability.
What are the limitations of the proposed method in resolving integer ambiguities in satellite positioning signals?
The proposed method relies on candidate float ambiguity values, which may not always provide an accurate representation of the true integer ambiguity. This could lead to potential errors in the integer ambiguity resolution process.
How does the accuracy of the candidate float ambiguity values impact the overall performance of the integer ambiguity resolution method?
The accuracy of the candidate float ambiguity values directly affects the success rate of the integer ambiguity resolution process. Higher accuracy values in the candidate float ambiguities lead to a more reliable and efficient resolution of integer ambiguities, resulting in improved positioning accuracy.
Original Abstract Submitted
an integer ambiguity resolution method includes: receiving sps signals; determining, for the sps signals, candidate float ambiguity values indicative of float numbers of carrier signal wavelengths of the sps signals between respective satellite sources, of the sps signals, and the mobile device; and performing, in response to failure of an integer ambiguity resolution validation check based on at least a first subset of the candidate float ambiguity values, an integer ambiguity search using at least a second subset of the candidate float ambiguity values; wherein each candidate float ambiguity value of the at least second subset of the candidate float ambiguity values corresponds to a second indication of candidate float ambiguity accuracy that is higher than a first indication of candidate float ambiguity accuracy, if any, corresponding to the at least first subset of the candidate float ambiguity values.
