GNSS Position Tracking with Degraded Signal Coefficients
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Solution Overview
Problem
Conventional GNSS fencing systems experience errors in determining the position and speed of mobile subjects under unfavorable signal conditions, leading to false boundary violations, which can erode consumer confidence and disrupt training processes.
Innovation Solution
An apparatus and method that utilize a motion detector and an actionable position and speed determination unit to process GNSS data, incorporating position and speed degrade coefficients based on recent and prior GNSS solution metrics and signal metrics, to provide a reliable actionable position and speed, reducing the likelihood of false boundary violations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If differential GNSS is used to improve position and speed accuracy, then measurement precision is improved, but device complexity increases due to requiring fixed receiver and communication links
Solution Approach 1:
The patent extracts the complex differential GNSS infrastructure (fixed receivers, communication links) from the mobile device and relocates it to a stationary base station. The mobile device retains only simple GNSS signal reception and processing capabilities, while the base station handles the computationally intensive differential corrections and broadcasts simplified correction data.
Solution Approach 2:
The base station acts as an intermediary between the GNSS satellites and the mobile device. It receives raw GNSS signals, computes differential corrections, and transmits corrected position and speed information to the mobile device, eliminating the need for the mobile device to directly implement complex differential GNSS algorithms.
2Adaptability or versatility
If conventional GNSS fencing systems are used under unfavorable signal conditions, then boundary detection functionality is maintained, but reliability deteriorates due to false boundary violations
Solution Approach 1:
The system continuously monitors GNSS signal quality metrics (number of satellites, signal-to-noise ratio, geometric dilution of precision) and uses this feedback to dynamically adjust position estimation. When signal quality degrades, the system increases reliance on previously validated positions and decreases weighting of noisy GNSS measurements, thereby maintaining reliability under unfavorable conditions.
Solution Approach 2:
The patent changes the operational parameters of the GNSS receiver by dynamically adjusting the weighting factors applied to different position estimates based on signal quality. It modifies the effective measurement precision by adapting the trust level in GNSS data versus cached position data, thereby maintaining reliable boundary detection across varying signal conditions.
3Reliability
If motion detector is added to verify GNSS position changes, then reliability is improved by reducing false violations, but device complexity increases
Solution Approach 1:
The patent merges the GNSS receiver and motion detector into a unified position verification system. The motion detector data is integrated with GNSS position estimates through a fusion algorithm that cross-validates movement claims. This combination provides mutual reinforcement: GNSS provides absolute position while the motion detector provides relative movement verification, together eliminating false violations more effectively than either sensor alone.
Data Source
AI summary
Systems and methods of tracking a mobile subject based on Global Navigation Satellite Systems (GNSS) data, including a boundary test unit to evaluate a boundary violation according to the current actionable position and current actionable speed of the mobile subject relative to a predetermined boundary, wherein the current actionable position is a sum of a prior actionable position and a product of a degraded position difference and a position tracking coefficient, and a current actionable speed is a function of a prior actionable speed and a degraded speed estimate.