17947099. CARRIER SIGNAL POSITIONING simplified abstract (QUALCOMM Incorporated)
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 17947099 titled 'CARRIER SIGNAL POSITIONING
Simplified Explanation
The patent application abstract describes a method for resolving integer ambiguities in satellite positioning signals by performing an integer ambiguity search based on candidate float ambiguity values.
- The method involves receiving signals from satellite positioning systems (SPS).
- Candidate float ambiguity values are determined for the signals, representing potential float numbers of carrier signal wavelengths between the satellite sources and the mobile device.
- If an integer ambiguity resolution validation check fails based on a first subset of candidate float ambiguity values, an integer ambiguity search is performed using a second subset of candidate float ambiguity values 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 could be applied in the field of satellite navigation systems to improve the accuracy and reliability of location-based services, especially in challenging environments where signal interference or multipath effects are common.
Problems Solved
1. Resolving integer ambiguities in satellite positioning signals to enhance the accuracy of location determination. 2. Improving the robustness of satellite navigation systems in challenging signal conditions.
Benefits
1. Increased accuracy in determining the location of mobile devices using satellite signals. 2. Enhanced reliability of satellite navigation systems in various environments. 3. Improved user experience with location-based services.
Potential Commercial Applications
Optimizing this technology for use in autonomous vehicles, precision agriculture, surveying, and other industries that rely on accurate positioning data could lead to commercial applications in navigation devices, fleet management systems, and geospatial technologies.
Possible Prior Art
One potential prior art in this field could be the use of Kalman filtering techniques for integer ambiguity resolution in satellite navigation systems. Kalman filters are commonly used for estimation and prediction in dynamic systems, including satellite positioning applications.
Unanswered Questions
How does this method compare to existing integer ambiguity resolution techniques in terms of computational efficiency and accuracy?
This article does not provide a direct comparison with other methods for resolving integer ambiguities in satellite positioning signals. Further research or testing may be needed to evaluate the performance of this method against existing techniques.
While the abstract outlines a method for improving the accuracy of current satellite positioning systems, it does not discuss the potential implications for future advancements in satellite navigation technology. Exploring the long-term effects and applications of this innovation could provide valuable insights into its role in shaping the future of navigation systems.
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.
