Compressive Coded Antenna Dynamic Codification
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Waveguide-based Compressive Coded Meta Antennas (CCMAs) have fixed multidimensional codes and limited design flexibility, lacking a clear performance assessment metric, which restricts their adaptability and optimization in radar systems and other applications.
Innovation Solution
Dynamic multi-dimensional codification of electromagnetic fields using customized spatial coded reflectors, vortex lenses, and meta-materials, combined with compressive sensing imaging, allows for real-time adjustment of codification in spatial location, time, frequency, polarization, and angular momentum, enhancing channel sensing capacity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If waveguide-based CCMA is designed with fixed multidimensional codes, then the system achieves quasi-real-time 2D imaging using a single transceiver, but the codes cannot be changed once fabricated and design flexibility is limited
Solution Approach 1:
The patent applies dynamics by transitioning from fixed codes to dynamically reconfigurable codes. The CCA system uses controllable elements (such as PIN diodes or varactors) that allow the code pattern to be changed in real-time during operation, enabling the same antenna to adapt to different imaging requirements without physical reconfiguration.
Solution Approach 2:
The patent implements parameter changes by modifying the electrical properties of the antenna elements through controllable components. By changing the impedance or resonance frequency of individual elements via voltage control, the code pattern can be dynamically adjusted, providing flexibility in code selection while maintaining the waveguide-based architecture.
2Adaptability or versatility
If cELC meta-material resonance is used for codification, then multidimensional coding is achieved, but the resonance frequency is the only degree of freedom available for design
Solution Approach 1:
The patent extends the single degree of freedom (resonance frequency) to multiple degrees of freedom by introducing spatial dimensionality. The CCA uses an array of elements where both the resonance frequency and the spatial position/code pattern of each element can be independently controlled, adding the spatial arrangement as an additional dimension for codification.
Solution Approach 2:
The patent applies segmentation by dividing the antenna into multiple independent controllable elements. Each element can be individually addressed and controlled, allowing the code pattern to be modified by selectively activating or deactivating specific elements, thereby providing multiple design parameters beyond just resonance frequency.
3Device complexity
If traditional coded apertures are used, then simple structure is maintained, but they cannot pseudo-randomly illuminate broad space using multidimensional sub-beam-like codes
Solution Approach 1:
The patent implements universality by designing the CCA to perform multiple functions: it can pseudo-randomly illuminate broad space, generate multidimensional sub-beam-like codes, and maintain a structure similar to traditional coded apertures. The same antenna structure achieves both simple operation and advanced illumination capabilities through intelligent code control.
Solution Approach 2:
The patent uses composite structures by combining traditional antenna elements with meta-material properties. The CCA integrates conventional waveguide structures with cELC meta-material elements, creating a hybrid system that maintains structural simplicity while enabling complex multidimensional coding and broadspace illumination capabilities.
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 reduces system complexity, energy consumption, and cost while improving radar system performance in contested scenarios and other applications like non-destructive testing by enabling adaptive coding and enhanced imaging capabilities.
Implementation Method 1
a reflector distorted with a pseudo-random pattern
Implementation Method 2
one or more vortex lenses
Implementation Method 3
one or more meta materials; frequency selective surface
Data Source
AI summary
A system for sensing a target in a region of interest (ROI) includes a coded compressive antenna (CCA) to generate an EM field codified in multiple dimensions. One or more receivers receives EM energy reflected by the target, and produces reflection information corresponding to the reflected energy. A compressive sensing imaging processor analyzes reflection information to generate an image representing the target. The CCA may use a distorted reflector, a vortex lens, and/or meta-materials to codify the EM field in multiple dimensions. The system may evaluate a sensing matrix that characterizes the transmission channel and the codified EM field. The system configures the CCA to produce a coded EM field enhances certain sensing matrix singular values, with respect to an EM field produced by a non-codified antenna. The sensing system provides increased target sensitivity while reducing false detections.


