Antenna Alignment via Simulated Radiation Pattern Matching
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Solution Overview
Problem
Conventional antenna alignment methods are complex and difficult to execute accurately, especially in fine adjustments, leading to challenges in aligning the main lobe of antennas in microwave communication systems.
Innovation Solution
An antenna alignment method and device that utilize a feature image library to determine the alignment direction of the main lobe by correlating standard feature images with actual feature images based on the Received Signal Level (RSL) curved surface and radiation patterns, allowing for automated adjustment of antennas.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional manual antenna alignment method is used, then the alignment process can be completed, but the complexity of operation increases and accuracy decreases
Solution Approach 1:
The patent creates a simulated radiation pattern image that copies the essential characteristics of the actual antenna radiation pattern. This simulated image serves as a visual template that operators can match against the real antenna pattern, transforming the abstract alignment task into a concrete visual matching process. The simulated image includes key features like the main lobe position and radiation intensity distribution, allowing operators to achieve accurate alignment without complex manual measurements.
Solution Approach 2:
The patent employs color-coded visualization to represent different radiation intensity levels in the simulated radiation pattern image. Different colors correspond to different signal strength zones, making it visually intuitive for operators to identify the main lobe direction and alignment status. This color-based visual feedback system replaces complex numerical data with easily interpretable visual cues, significantly improving ease of operation while maintaining high alignment accuracy.
2Manufacturing precision
If fine adjustment is performed manually based on RSSI voltage, then alignment can be achieved, but the difficulty of handling increases
Solution Approach 1:
The patent replaces the mechanical/manual adjustment process with an automated image-based alignment system. Instead of manually adjusting antenna components based on RSSI voltage readings, the system uses a simulated radiation pattern image to guide the alignment process. The image processing and comparison algorithms automatically determine the optimal alignment position, substituting complex mechanical adjustment operations with computational analysis that is easier to execute and more precise.
Solution Approach 2:
The simulated radiation pattern image serves as an intermediary between the RSSI voltage data and the final alignment decision. Rather than directly translating voltage readings into adjustment commands (which requires complex processing), the system first converts the data into a visual simulated image that represents the radiation pattern. This intermediary visual representation simplifies the decision-making process by providing intuitive visual feedback about alignment status and required adjustments.
3Productivity
If automated alignment is implemented, then efficiency improves, but the need for accurate feature image matching increases
Solution Approach 1:
The patent performs preliminary processing to create the simulated radiation pattern image before the actual alignment operation. This simulated image is generated in advance based on antenna characteristics and environmental data, serving as a pre-computed reference template. By preparing this visual template beforehand, the system eliminates the need for complex real-time calculations during alignment, improving efficiency while ensuring accurate matching through the pre-validated simulated image.
Data Source
AI summary
The present disclosure provides an antenna alignment method and device. The method comprises: according to an antenna type of an antenna and a pre-selected image element type, acquiring a standard feature image corresponding to the antenna type and the image element type from a feature image library; according to the standard feature image, determining an actual feature image of the antenna to be adjusted, wherein there is a correlation between the position of a main lobe in the standard feature image and an alignment direction of a main lobe in the actual feature image; and according to the position of the main lobe, determining the alignment direction of the main lobe in the actual feature image, and adjusting the antenna to be adjusted to the alignment direction of the main lobe in the actual feature image.