RF Antenna Bore Sight Alignment Using Signal Optimization
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Solution Overview
Problem
Directional RF antennas often suffer from unknown offsets due to physical imperfections in their mounting structures, leading to inefficient compensation processes that result in the antenna not pointing directly at the target.
Innovation Solution
A process involving the determination of corrected relative pointing vectors by rotating the antenna in azimuth and elevation planes to account for peak signal strengths from multiple targets, allowing for the calculation of heading, pitch, and roll angles to align the antenna's bore sight with the platform.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the antenna is mounted using physical structures, then the antenna can be physically supported and positioned, but unknown offsets are introduced due to physical imperfections in the mounting structures
Solution Approach 1:
The patent replaces mechanical alignment methods with an electromagnetic field-based calibration system. The antenna is physically mounted using conventional structures, but the unknown offsets are determined through RF signal measurements and mathematical calculations rather than mechanical precision. The system uses test signals transmitted between the antenna and targets to automatically determine heading, pitch, and roll offsets, substituting mechanical precision requirements with electromagnetic field measurements and computational correction.
2Measurement precision
If past compensation processes were used, then some offset correction was attempted, but the processes proved inefficient and the antenna still did not point directly at the target
Solution Approach 1:
The patent implements a feedback-based calibration system where the antenna's actual pointing accuracy is measured by transmitting test signals and detecting peak signal strengths. The system uses the detected peak positions to calculate the actual heading, pitch, and roll offsets, then applies these corrections to subsequent pointing operations. This closed-loop feedback mechanism ensures both high measurement precision and operational efficiency, as the system automatically determines and applies corrections without manual intervention.
Solution Approach 2:
The calibration system is self-contained and automatically determines its own offset parameters. The antenna system performs its own calibration by transmitting test signals, detecting peak signal strengths from multiple targets, and calculating its heading, pitch, and roll offsets independently. This self-service approach eliminates the need for external calibration equipment or manual alignment procedures, significantly improving process efficiency while maintaining high pointing accuracy.
3Measurement precision
If multiple targets are used for calibration, then more accurate offset determination is achieved, but the calibration process requires more time and resources
Solution Approach 1:
The patent employs a balanced approach using a small number of targets (typically three or more) positioned at specific geometric configurations. This provides sufficient data for accurate offset determination without requiring excessive calibration time. The system uses mathematical optimization to efficiently process measurements from multiple targets and determine the heading, pitch, and roll offsets. By selecting an optimal number of targets and their positions, the system achieves high measurement precision while minimizing calibration time and resource requirements.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This method effectively compensates for unknown offsets, ensuring the antenna points directly at the target with improved accuracy, enhancing the alignment process and communication efficiency.
Implementation Method 1
rotating the antenna in an azimuth plane to determine a first delta azimuth angle (ΔAz1) from the uRPV1 that corresponds to a peak strength of the first test signal at the antenna or the first target
Data Source
AI summary
Processes for determining imperfection offsets between an antenna and the platform to which the antenna is coupled, where the imperfection offsets are unknown offsets due to imperfections such as manufacturing imperfections. The platform can include an orientation mechanism that provides the orientation of the platform, and the imperfection offsets can be between the antenna and the orientation mechanism. The processes can include determining two different relative pointing vectors that correspond to a detected peak strength of a test signal transmitted between one or more targets and the antenna. The processes can further include utilizing an optimization process to determine the heading, pitch, and roll of the imperfection offsets from the two different relative pointing vectors.