SRS-Triggered Cellular Location Determination Under Signal Loss
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Solution Overview
Problem
Existing location detection technologies face challenges in providing continuous coverage and resilience in positioning, navigation, and timing due to varying signal strengths, signal loss, and interference in both terrestrial and satellite-based networks, particularly affecting applications that rely on GPS services.
Innovation Solution
A data-driven location determination system utilizing multi-spectrum, multi-modal terrestrial and non-terrestrial sensors and communication technologies to achieve continuous coverage and improved accuracy, incorporating machine-learning models and dynamic load balancers for efficient location detection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional location detection technologies are used, then system simplicity is maintained, but location accuracy and continuous coverage are degraded due to signal loss and interference
Solution Approach 1:
The system segments location detection into multiple independent techniques (GPS, cellular, Wi-Fi, Bluetooth, inertial sensors) that operate simultaneously. Each technique processes location data independently, and the location engine combines results to achieve continuous accurate positioning even when individual techniques fail due to signal loss or interference.
Solution Approach 2:
The patent creates a composite location determination system that integrates multiple heterogeneous location techniques and data sources. This composite approach combines satellite-based GPS, terrestrial cellular networks, Wi-Fi positioning, Bluetooth beacons, and inertial measurement units to produce a unified location solution that maintains accuracy and continuity across diverse environmental conditions.
2Reliability
If continuous location monitoring is implemented, then location availability is improved, but energy consumption increases
Solution Approach 1:
The system dynamically adjusts the combination and frequency of location techniques based on current conditions, device state, and requirements. The location engine selectively activates specific location techniques (GPS, cellular, Wi-Fi, Bluetooth, inertial) based on availability, power state, and accuracy requirements, rather than continuously running all techniques at full capacity.
Solution Approach 2:
The patent changes operational parameters of location techniques based on conditions such as power state, motion state, and location requirements. For example, the system adjusts GPS update frequency, enables inertial sensing during motion, and switches between active and passive Wi-Fi scanning modes to maintain location availability while optimizing energy consumption across different operating scenarios.
3Measurement precision
If multiple location techniques are integrated, then location accuracy is improved, but processing time increases
Solution Approach 1:
The system performs preliminary actions by pre-processing location data from multiple sources and maintaining ready-state location estimates. The location engine continuously monitors signal availability and pre-calculates location solutions using inertial sensors and cached positioning data, so that when accurate location is needed, the system can quickly deliver results without extensive real-time computation.
Solution Approach 2:
The patent maintains continuous location determination through seamless integration of multiple techniques that operate simultaneously. The location engine continuously processes data from GPS, cellular, Wi-Fi, Bluetooth, and inertial sensors in parallel, maintaining an updated location estimate at all times rather than switching between techniques or performing batch processing, thereby eliminating processing delays while improving accuracy.
Data Source
AI summary
Methods, apparatus, systems, and articles of manufacture are disclosed for triggerable data driven location determination. An example apparatus is to cause transmission of a sounding reference signal (SRS) configuration to a radio access network (RAN), the SRS configuration for a target device in communication with a radio unit (RU) associated with the RAN. Additionally, the example apparatus is to cause transmission of a value to cause the RAN to compute at least one set of time-of-arrival (TOA) measurements or time-difference-of-arrival (TDOA) measurements for the target device based on detection of SRS data in cellular data received by antennas of the RU from the target device, the at least set one of the TOA measurements or the TDOA measurements based on the SRS configuration. The example apparatus is to estimate a location of the target device based on the at least one set of the TOA measurements or the TDOA measurements.