Magnetometer-Assisted GNSS Azimuth Quality Metrics for Antenna Alignment
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Solution Overview
Problem
GNSS-based antenna alignment is prone to inaccuracies due to wandering measurements caused by RF interferences or obstructions, leading to communication issues such as less bandwidth and lower signal-to-noise ratio.
Innovation Solution
Incorporating magnetometers and accelerometers in antenna alignment devices to measure non-GNSS based positional attributes, calculating a quality metric by comparing GNSS-based azimuth with these measurements, and displaying it alongside the GNSS-based azimuth to indicate trustworthiness.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If GNSS-based alignment is used to determine antenna position and orientation, then alignment capability is provided, but measurement accuracy deteriorates due to wandering caused by RF interferences and obstructions
Solution Approach 1:
The patent combines multiple measurement systems (GNSS antennas and magnetometers) into a single antenna alignment device. The processor integrates data from both systems to calculate azimuth values, allowing the device to leverage the adaptability of GNSS while compensating for its precision issues using magnetometer data during periods of signal degradation
Solution Approach 2:
The system continuously monitors the quality metric derived from comparing GNSS-based azimuth with magnetometer-based azimuth. When the quality metric indicates poor GNSS signal conditions, the system feedback-adjusts by relying more heavily on magnetometer measurements, thereby maintaining measurement accuracy despite RF interferences or obstructions
2Reliability
If multiple measurement components are integrated to improve accuracy, then measurement reliability is improved, but device complexity increases
Solution Approach 1:
The processor is designed to perform multiple functions: calculating azimuth from GNSS data, calculating azimuth from magnetometer data, comparing the two measurements, and generating quality metrics. This multi-functionality allows the system to improve measurement reliability through data fusion without requiring separate dedicated hardware for each processing function, thereby limiting the increase in device complexity
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Provides a quality metric to assess the reliability of GNSS-based azimuth measurements, reducing inaccuracies and improving communication performance by distinguishing between genuine device movement and wandering caused by interference or obstructions.
Implementation Method 1
alternate azimuth measurement components such as magnetometers may be provided on antenna alignment devices
Implementation Method 2
a plurality of components configured to measure non-GNSS based positional attributes of the antenna alignment device
Data Source
AI summary
In addition to GNSS antennas, other azimuth measurement components such as magnetometers may be provided on antenna alignment devices. The GNSS based azimuth may then be compared against the azimuth measured by the other components and the difference (i.e., the delta) may be calculated. Using the calculated delta and or observing the delta over time, a quality metric is calculated. For example, a lower delta may correspond to a higher quality metric and the higher delta may correspond to a lower quality metric. The quality metric may then be displayed alongside the GNSS based azimuth. The quality metric may then be used by a technician to determine the level of trust (or confidence level) of the GNSS based azimuth.