GNSS Receiver Duty Cycle Optimization for Power and Accuracy Trade-offs
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Solution Overview
Problem
Current GNSS measurement techniques face challenges in reducing power consumption while maintaining accuracy, especially in complex RF environments, and existing architectures lack flexibility in managing power and position error trade-offs.
Innovation Solution
A GNSS processor component dynamically adjusts the duty cycle and selects a configuration hypothesis that balances power consumption and position error by evaluating various combinations of Space Vehicle sets and duty cycle profiles, using a power estimator and position error estimator to determine the optimal configuration based on selection criteria.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If continuous GNSS measurement is performed to maintain high positioning accuracy, then position error is reduced, but power consumption increases
Solution Approach 1:
The system implements periodic GNSS measurements with variable duty cycles, switching between continuous measurement mode and discontinuous measurement mode. The duty cycle is dynamically adjusted based on positioning accuracy requirements and environmental conditions, allowing the receiver to enter low-power states while maintaining acceptable positioning performance through periodic updates rather than continuous operation.
Solution Approach 2:
The system dynamically adapts the measurement configuration by adjusting the duty cycle and selecting different Space Vehicle sets based on real-time conditions. The measurement engine modifies measurement parameters such as tracking channel allocation and signal processing intensity according to environmental factors like signal strength and interference levels, optimizing the balance between accuracy and power consumption.
2Use of energy by moving object
If discontinuous GNSS measurement is used to reduce power consumption, then power consumption is reduced, but position error increases
Solution Approach 1:
The system incorporates feedback mechanisms where the measurement engine continuously monitors positioning accuracy and environmental conditions. Based on this feedback, the system adjusts the duty cycle and measurement configuration in real-time, increasing measurement frequency when accuracy degrades and reducing it when conditions are favorable, thus maintaining positioning quality while managing power consumption.
Solution Approach 2:
The system performs preliminary evaluation of environmental conditions and positioning requirements to pre-determine optimal measurement configurations. By assessing signal quality, interference levels, and accuracy needs before entering discontinuous measurement mode, the system can plan measurement schedules that maintain positioning accuracy while maximizing power savings during low-activity periods.
3Ease of operation
If fixed measurement configuration is used to simplify system operation, then ease of operation is improved, but adaptability to environmental conditions deteriorates
Solution Approach 1:
The system implements self-service through automated measurement configuration management. The measurement engine autonomously evaluates environmental conditions, selects optimal Space Vehicle sets, and adjusts duty cycles without user intervention. This maintains ease of operation by hiding complexity from the user while enabling sophisticated adaptive behavior through automated decision-making algorithms that respond to changing RF environments.
Solution Approach 2:
The system transitions from static fixed configurations to dynamic adaptive configurations. The measurement engine continuously monitors environmental parameters and automatically adjusts measurement parameters including duty cycle, Space Vehicle set selection, and tracking channel allocation. This dynamic adaptation maintains positioning accuracy across varying conditions while preserving operational simplicity through automated control.
Data Source
AI summary
Some demonstrative embodiments include apparatuses, devices, systems and methods of a Global Navigation Satellite System (GNSS) measurement. For example, an apparatus may include a GNSS receiver including circuitry to receive GNSS signals; and at least one GNSS processor component configured to determine a plurality of configuration hypotheses including different combinations of one of a plurality of different Space Vehicle (SV) sets and one of a plurality of different duty cycle profiles, the GNSS processor component configured to select from the plurality of configuration hypotheses a selected measurement configuration including a selected SV set and a selected duty cycle profile, based at least on an estimated power consumption corresponding to the selected measurement configuration and an estimated position error corresponding to the selected measurement configuration, the GNSS processor component to configure a GNSS measurement by the GNSS receiver using the selected SV set and according to the selected duty cycle.