Antenna Radiation Pattern Measurement Using Compressive Sensing
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current methods for measuring antenna radiation patterns are time-consuming and expensive, especially when performed over a range of wavelengths, and existing techniques like traditional sampling and inpainting are not well-suited for high-performance applications like ultra-wide band communications and beamforming.
Innovation Solution
The use of compressive sensing (CS) to generate antenna radiation patterns, where a ring of transmitters surrounds the antenna under test, controlled by a CS processor that processes signal samples to produce the radiation pattern, reducing the need for extensive rotation and increasing measurement speed.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional sampling techniques are used to measure antenna radiation patterns, then measurement precision can be maintained, but measurement time becomes excessively long (8-15 hours for a typical antenna)
Solution Approach 1:
The patent applies compressive sensing to measure only a subset of antenna radiation pattern data points (partial action) rather than sampling every position. By using sparsity-promoting optimization algorithms, the system recovers the complete radiation pattern from these reduced measurements, achieving accurate results in minutes instead of hours while maintaining measurement precision
Solution Approach 2:
The patent changes the measurement approach from traditional uniform sampling across all azimuth and elevation positions to compressive sensing with sparsity constraints. This parameter change in the measurement paradigm enables dramatic time reduction by exploiting the inherent sparsity of antenna radiation patterns in certain domains, recovering full patterns from significantly fewer measurements
2Measurement precision
If comprehensive antenna radiation pattern measurement is performed over multiple wavelengths, then measurement precision and completeness are improved, but measurement cost and time increase significantly
Solution Approach 1:
The patent measures only a subset of required radiation pattern data points across multiple wavelengths using compressive sensing, rather than performing exhaustive measurements at every position and wavelength. The sparsity-promoting optimization algorithms reconstruct the complete multi-wavelength radiation patterns from these partial measurements, reducing resource consumption while maintaining measurement completeness
Solution Approach 2:
The patent creates a universal measurement framework that simultaneously handles multiple wavelengths and three-dimensional radiation pattern data. The compressive sensing approach with sparsity constraints provides a multi-functional solution that efficiently processes diverse wavelength data and reconstructs complete radiation patterns, making the measurement system adaptable to various wavelength ranges and antenna types
Data Source
AI summary
A method and apparatus for measuring antenna radiation patterns comprising: an array of test antennas coupled to at least one transmitter; an antenna under test located proximate to the array of test antennas and a compressive sensing processor coupled to the antenna under test and the array of test antennas to control signals emitted and received by the antenna under test and the array of test antennas and processing the signals using compressive sensing.