Reflector Antenna Wind Compensation Using Kalman Gain Optimization
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Solution Overview
Problem
Existing wind disturbance control methods for large-aperture reflector antennas, particularly those using the Kalman filter, are ineffective in scenarios with significant external factor variations, leading to poor compensation accuracy.
Innovation Solution
A method involving a Kalman filter to estimate optimal gain, followed by an error prediction model with a data conversion, cross scan, and dilated convolution modules to optimize the gain, enhancing correlation feature mining between adjacent and non-adjacent elements in a two-dimensional matrix, and incorporating a fully connected layer for correction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the Kalman filter is used for wind disturbance compensation control, then the control system can be implemented with a standard filtering approach, but the compensation accuracy deteriorates when external factors vary greatly
Solution Approach 1:
The patent transforms the one-dimensional optimal gain sequence into a two-dimensional matrix structure, enabling the model to capture spatial correlations in different directions (horizontal, vertical, anti-horizontal, anti-vertical). This dimensional transformation allows the system to better adapt to varying external conditions by exploiting multi-directional feature relationships that a simple sequential approach cannot capture.
Solution Approach 2:
The patent segments the feature extraction process into distinct functional modules: a data conversion module for dimensional transformation, a cross-scan module for directional feature extraction, and a dilated convolution module for multi-scale correlation mining. This segmentation enables each module to specialize in specific aspects of feature processing, improving overall compensation accuracy under varying external factors.
2Measurement precision
If the optimal gain from Kalman filter is used directly for compensation, then the control process is simple and fast, but the compensation accuracy is poor under complex external conditions
Solution Approach 1:
The patent introduces an error prediction model as an intermediary component between the Kalman filter and the compensation mechanism. This intermediary processes the optimal gain through dimensional transformation and multi-directional feature extraction, enhancing the compensation accuracy without fundamentally changing the Kalman filter itself. The intermediary architecture allows incremental complexity addition while maintaining the core filtering functionality.
3Measurement precision
If multi-directional correlation features are extracted using cross-scan and dilated convolution modules, then the wind disturbance compensation accuracy is improved, but the computational complexity increases
Solution Approach 1:
The patent implements four scanning directions (horizontal, vertical, anti-horizontal, anti-vertical) to comprehensively capture correlation features. By performing scans in multiple directions rather than a single direction, the system ensures that correlation features are captured even when the optimal gain sequence exhibits complex spatial patterns, thereby improving compensation accuracy at the cost of increased computational effort.
Data Source
AI summary
The present invention relates to the field of antenna control technology, and discloses a large-diameter reflective surface antenna wind disturbance compensation control method, system, equipment and medium. The method consists of obtaining the optimal gain for wind disturbance compensation of large-diameter reflector antennas through a Kalman filter. The optimal gain is input into a trained error prediction model, and it is converted into a two-dimensional matrix to mine the correlation features between adjacent elements in different directions of the two-dimensional matrix and the correlation features between non-adjacent elements in different directions. The optimal gain obtained by the Kalman filter is optimized via correlation features between adjacent elements in different directions of the two-dimensional matrix and correlation features between non-adjacent elements. The wind disturbance compensation effect of the large-diameter reflector antenna can be improved by using the optimized optimal gain to compensate for wind disturbance of the large-diameter reflector antenna.