Phased Antenna Array Deformation Compensation Using Motion Sensors
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Solution Overview
Problem
Phased antenna arrays face performance degradations due to positional discrepancies caused by physical perturbations such as shock, vibration, temperature changes, and motion, which are not accurately accounted for in existing technologies.
Innovation Solution
A computing system comprising a mounting surface with antennas and motion sensors, where a processor receives motion data from sensors, computes location offsets, and updates a signal model to account for deformed antenna positions, using affine and homography transformation matrices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If motion sensors and real-time deformation adjustments are added to the phased antenna array, then the adaptability and performance in harsh conditions are improved, but the device complexity increases
Solution Approach 1:
Motion sensors are introduced as intermediary devices to detect mounting surface deformations, and transformation matrices serve as mathematical intermediaries to translate sensor data into corrected antenna positions. This mediator approach enables the system to adapt to harsh conditions without fundamentally redesigning the antenna array structure.
Solution Approach 2:
The patent replaces mechanical rigid mounting structures with a computational approach using motion sensors and real-time signal model updates. Instead of relying on physically rigid mounts to maintain antenna positions, the system uses digital transformation matrices to compensate for deformations, substituting mechanical stability requirements with computational correction.
2Measurement precision
If transformation matrices and real-time updates are implemented, then measurement precision of antenna positions is improved, but computational requirements and processing time increase
Solution Approach 1:
Transformation matrices (affine and homography) are pre-computed based on motion sensor data before signal processing occurs. By preparing these mathematical corrections in advance, the system minimizes real-time computational burden during critical signal processing operations, thus reducing processing time while maintaining high measurement precision.
Solution Approach 2:
The system dynamically changes transformation parameters based on detected mounting surface deformations. By adjusting the transformation matrices according to real-time sensor data, the system maintains accurate antenna position measurements without requiring complex iterative calculations, thereby reducing processing time while preserving precision.
Data Source
AI summary
A phased array computing system can include a mounting surface with a plurality of antenna disposed thereon. The mounting surface can include motion sensors disposes at a plurality of different sensor positions to detect the changes to the mounting surface. The system can receive motion data generated by the motion sensors. The system can compute, based on the motion data location offsets for the motion sensors from their original positions on the mounting surface. The system can compute a deformed position for each antenna on the mounting surface using the location offsets for the motion sensors. The system can update, based on the deformed positions, a signal model associated with the antennas to compensate for deformations at the mounting surface during sensor processing.