18527180. Device Position Accuracy with Network-Based Crowdsourcing simplified abstract (T-Mobile USA, Inc.)

Device Position Accuracy with Network-Based Crowdsourcing

Organization Name

T-Mobile USA, Inc.

Inventor(s)

Emile Tran of Sammamish WA (US)

Antoine Tran of Bellevue WA (US)

Muhammad Khadim of Sammamish WA (US)

Nan Xiao of Mercer Island WA (US)

Tony Fung of Newcastle WA (US)

Chong Kiong of Bellevue WA (US)

Device Position Accuracy with Network-Based Crowdsourcing - A simplified explanation of the abstract

This abstract first appeared for US patent application 18527180 titled 'Device Position Accuracy with Network-Based Crowdsourcing

Simplified Explanation

The abstract of the patent application describes techniques for calculating the location of a position consumer device using reference data points and signal measurements. The process involves creating a fingerprint map, filtering reference data points, and performing interpolation to determine the location of the consumer device.

• Creation of fingerprint map from reference data points
• Filtering reference data points using threshold values
• Interpolation of reference data points to find collinear pairs
• Calculation of consumer device location based on collinear reference data points

Potential Applications

The technology described in the patent application could be applied in various industries and scenarios, including:

• Location-based services
• Navigation systems
• Asset tracking
• Emergency response systems

Problems Solved

The technology addresses several challenges related to accurately determining the location of a consumer device, such as:

• Signal interference
• Inaccurate GPS data
• Limited satellite coverage in urban areas

Benefits

The benefits of this technology include:

• Improved accuracy in determining device location
• Enhanced user experience in location-based services
• Increased efficiency in asset tracking and management

Potential Commercial Applications

The technology has potential commercial applications in:

• Mobile app development
• IoT devices
• Fleet management systems

Possible Prior Art

One possible prior art in this field is the use of trilateration and triangulation techniques to determine device location based on signal measurements and reference points.

How does this technology handle indoor positioning?

The technology described in the patent application focuses on outdoor positioning. Indoor positioning may require additional techniques or technologies to overcome signal interference and obstacles.

What are the limitations of this technology in rural areas with limited network coverage?

The technology relies on reference data points and signal measurements, which may be limited in rural areas with sparse network coverage. Alternative methods may be needed to improve accuracy in such environments.

Original Abstract Submitted

Techniques for calculating a location of a position consumer device is disclosed. In one example, a network server may create a fingerprint map from reference data points. Each of the reference data points may include a recorded geo-location of a position source device and signal measurements taken at that recorded geo-location. By initially estimating an initial position of the position consumer device, the network server may apply one or more threshold values to filter reference data points—candidates for interpolation. The network server may then perform an interpolation on one or more pairs of reference data points to find a pair of reference data points that is collinear with the estimated position of the position consumer device. The location of the position consumer device may then be calculated based upon geo-locations of position source devices that are associated with collinear reference data points.