Tri-polarized Antenna Array Orientation Robustness
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Solution Overview
Problem
In wireless communication networks, particularly in 6G networks, antenna arrays with tri-polarized elements face significant sensitivity to orientation mismatch due to beamforming effects, leading to reduced orientation robustness, especially as the aperture size increases.
Innovation Solution
The implementation of beamforming processing using specific beamforming vectors for each polarization in antenna arrays with multiple tri-polarized elements, reducing spatial variations of the array factor and enhancing orientation robustness by compensating variations in beamforming gain across different polarizations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If beamforming processing is performed without polarization-specific weighting, then device complexity is reduced, but spatial variations of array factor increase leading to reduced orientation robustness
Solution Approach 1:
The patent applies different beamforming weightings to antenna signals based on their specific polarization characteristics. Each polarization component (first, second, and third polarizations) receives tailored beamforming processing with its own weighting vector, rather than applying a uniform weighting to all polarizations. This localized treatment of different polarization components resolves the contradiction by maintaining orientation robustness through polarization-specific optimization while avoiding the complexity of fully independent processing for each antenna element.
Solution Approach 2:
The patent changes the beamforming weighting parameters specifically for different polarization components. By adjusting the weighting applied to antenna signals according to their polarization state, the system optimizes spatial variations of the array factor for each polarization. This parameter change approach enables the system to achieve rotation invariance and improved orientation robustness without requiring complete redesign of the beamforming architecture.
2Productivity
If aperture size of antenna array is increased, then spatial diversity and capacity are improved, but sensitivity to orientation mismatch increases due to beamforming effects
Solution Approach 1:
The patent addresses the orientation sensitivity issue in large aperture arrays by applying polarization-specific beamforming weightings. Each polarization component is processed with tailored weightings that account for its specific spatial characteristics, thereby maintaining orientation robustness even as the array aperture increases. This localized quality approach allows the system to leverage the full capacity benefits of large apertures while mitigating the corresponding orientation sensitivity through differential treatment of polarization components.
Solution Approach 2:
The patent effectively creates a composite beamforming approach by combining multiple polarization components with different weighting strategies. The overall beamforming processing comprises first, second, and third beamforming weightings applied to different polarization components, creating a composite signal that benefits from both the large aperture spatial diversity and the orientation robustness of polarization-specific processing. This composite approach resolves the contradiction between capacity and orientation robustness.
Data Source
AI summary
A wireless communication device (10; 100) performs wireless transmissions via an antenna array of the wireless communication device (10; 100). The antenna array comprises multiple antenna elements with a first polarization, a second polarization, and a third polarization. For at least some of the wireless transmissions, the wireless communication device (10; 100) performs beamforming processing by, for the first polarization, weighting antenna signals each corresponding to a respective one of the multiple antenna elements by a first beamforming vector, for the second polarization, weighting antenna signals each corresponding to a respective one of the multiple antenna elements by a second beamforming vector, and for the third polarization, weighting antenna signals each corresponding to a respective one of the multiple antenna elements by a third beamforming vector. The first beamforming vector, the second beamforming vector, and the third beamforming vector result in spatial variations of an array factor of the antenna array which are reduced as compared to performing the beamforming processing of the signals without weighting the signals.