Surface Scattering Antenna Array Beam Pattern Control

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Solution Overview

Problem

Current imaging technologies using surface scattering antenna arrays face challenges in efficiently reconstructing images due to variability in beam patterns and energy detection, which affects the accuracy and reliability of the imaging process.

Innovation Solution

The implementation of a circuitry system that sets and adjusts conditions for surface scattering antenna arrays, including frequency, configuration of scattering and reflector antennas, to produce a series of beam patterns, and uses compressive imaging algorithms to process signals and reconstruct images based on these conditions.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If traditional imaging methods are used with surface scattering antenna arrays, then the system structure is simpler, but the image reconstruction accuracy is insufficient due to beam pattern variability and energy detection issues

Engineering Contradiction:
Improveimage reconstruction accuracyVSAvoidcircuitry system complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent implements a feedback mechanism where the circuitry receives energy detection signals from the surface scattering antenna array, processes them through compressive imaging algorithms, and adjusts the antenna configuration based on the reconstructed image quality. This closed-loop feedback system continuously optimizes beam patterns and energy detection to improve image reconstruction accuracy while managing system complexity through intelligent control.

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The patent employs dynamic adjustment of antenna elements and beam patterns to adapt to varying imaging conditions. The circuitry dynamically reconfigures the surface scattering antenna array based on real-time energy detection signals, optimizing the beam patterns for different imaging scenarios. This dynamic adaptability enables high-precision image reconstruction despite the increased system complexity.

Inventive Principle:
Principle #15Dynamics

2Reliability

If beam patterns are not stabilized, then the antenna configuration is simpler, but the energy detection reliability and imaging accuracy deteriorate

Engineering Contradiction:
Improveenergy detection reliabilityVSAvoidbeam pattern control complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The circuitry implements feedback control by monitoring energy detection signals and adjusting antenna configurations to stabilize beam patterns. The system compares detected energy levels against expected values and dynamically adjusts phase and amplitude parameters to maintain consistent beam patterns, thereby improving energy detection reliability while managing control complexity through adaptive algorithms.

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The patent stabilizes beam patterns by dynamically changing key parameters such as phase shift, amplitude distribution, and element activation patterns across the antenna array. These parameter adjustments are controlled by the circuitry based on compressive imaging algorithms, enabling reliable energy detection without requiring overly complex hardware modifications.

Inventive Principle:
Principle #35Parameter changes

3Measurement precision

If compressive imaging algorithms are implemented, then image reconstruction accuracy improves, but the processing time and computational complexity increase

Engineering Contradiction:
Improveimage reconstruction accuracyVSAvoidimage processing time
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The patent applies compressive imaging algorithms that process only a subset of the full signal data set, acquiring and reconstructing images from fewer measurements than traditional methods require. This partial action approach maintains high reconstruction accuracy while significantly reducing processing time by avoiding unnecessary computation on redundant data, thus mitigating the time loss associated with complex algorithms.

Inventive Principle:
Principle #16Partial or excessive action

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 approach enables precise image reconstruction by stabilizing beam patterns and improving energy detection, enhancing the accuracy and reliability of the imaging process.

Implementation Method 1

surface scattering antenna array

Methodology Applied
Scientific EffectElectromagnetic scattering: Scattering

Data Source

PatentUS9843103B2Methods and apparatus for controlling a surface scattering antenna array
Publication Date: 2017.12.12 METAVC PATENT HOLDING CO
  • US9843103B2 patent drawing
  • US9843103B2 patent drawing
  • US9843103B2 patent drawing

AI summary

An array of scattering and/or reflector antennas are configured to produce a series of beam patterns, where in some embodiments the scattering antenna and/or the reflector antenna includes complementary metamaterial elements. In some embodiments circuitry may be configured to set a series of conditions corresponding to the array to produce the series of beam patterns, and to produce an image of an object that is illuminated by the series of beam patterns.