Virtual Boresight Vector Calculation for Antenna Arrays
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Solution Overview
Problem
In antenna arrays, determining the precise virtual boresight vector is challenging due to variations in RF components and the unsuitability of boresighting techniques, leading to inaccuracies in angle of arrival measurements, especially when the array is mounted in inaccessible locations.
Innovation Solution
A method to calculate the virtual boresight vector by generating measured and estimated covariance matrices, comparing differences, and identifying the closest match to determine the angle between the antenna array and a calibration node, allowing for precise orientation determination even after installation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If specialized RF components are employed to minimize temperature and frequency effects, then measurement precision is improved, but device complexity and cost increase
Solution Approach 1:
The system performs self-calibration by using the antenna array itself to measure and compensate for phase errors. The calibration process uses signals from known locations to automatically determine and correct RF component variations without requiring external specialized equipment or manual intervention, thereby maintaining measurement precision while avoiding increased device complexity
Solution Approach 2:
The system changes the operational parameters by measuring phase differences at multiple frequencies and using these measurements to calculate compensation values. This allows the system to adapt to temperature and frequency variations dynamically, maintaining measurement precision without requiring specialized RF components designed for specific frequency ranges
2Measurement precision
If specialized measuring equipment is employed to measure phase rotation, then measurement precision is improved, but ease of operation deteriorates due to required disconnection
Solution Approach 1:
The antenna array system performs its own calibration without requiring external measuring equipment. The system uses signals transmitted from calibration locations to automatically measure phase rotations introduced by RF components, eliminating the need for disconnection and specialized equipment while maintaining measurement precision
Solution Approach 2:
The system performs calibration measurements at multiple frequencies before actual angle of arrival measurements are taken. This preliminary characterization of RF component phase errors allows the system to compensate for these errors during normal operation, ensuring measurement precision without requiring repeated disconnections for calibration
3Ease of operation
If boresighting technique is used for antenna array, then ease of operation is improved, but measurement precision deteriorates due to element misalignment
Solution Approach 1:
The system uses measured phase differences from calibration signals to calculate and apply compensation values that correct for individual antenna element misalignments. This feedback mechanism allows the system to maintain measurement precision despite physical misalignments, while keeping the boresighting operation simple and easy to perform
Solution Approach 2:
The system changes the reference frame parameters by calculating a virtual boresight vector that accounts for individual element misalignments. Instead of requiring precise physical alignment of all elements, the system mathematically adjusts the reference frame to compensate for misalignments, maintaining measurement precision while preserving the simplicity of the boresighting operation
Data Source
AI summary
A virtual boresight vector for an antenna array can be calculated. The virtual boresight vector defines the direction an antenna array is pointing and can be used to ensure that angle of arrival measurements are performed with high accuracy. The virtual boresighting process can include positioning a calibration node at two different locations in order to obtain different covariance matrices. With the covariance matrices and based on knowing the angle between the two locations, an angle of arrival node can perform a process to calculate a precise angle between the antenna array and the second location.