3D mmW Scene Reconstruction via Optical Up-Conversion
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Solution Overview
Problem
Existing mmW imaging technologies fail to capture three-dimensional images, as they primarily provide two-dimensional representations of the scene, lacking a method to effectively utilize the depth information encoded in the radiation patterns.
Innovation Solution
The proposed solution involves sparse-aperture capture of mmW radiation, up-conversion to the optical domain, measurement of cross-correlation terms, and digital reconstruction of the original mmW scene from these terms, allowing for the recovery of three-dimensional information without active illumination.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If optical beams from all fibers are allowed to propagate in free space and interfere to form an optical image on a CCD array, then a two-dimensional image of the mmW scene is obtained, but three-dimensional information is lost
Solution Approach 1:
The patent segments the optical measurement process into two distinct components: (1) direct intensity measurement for 2D image formation, and (2) cross-correlation measurement for depth information extraction. By separating these measurement functions, the system recovers 3D information that would otherwise be lost in conventional direct imaging approaches.
Solution Approach 2:
The patent introduces cross-correlation terms as an intermediary measurement that bridges the gap between 2D intensity data and 3D scene reconstruction. These cross-correlation measurements serve as additional information carriers that encode depth relationships between mmW sources and antenna elements, enabling 3D reconstruction without requiring active illumination.
2Device complexity
If a sparse aperture array is used for mmW radiation capture, then device complexity is reduced, but measurement precision for 3D reconstruction is improved through cross-correlation detection
Solution Approach 1:
The patent changes the measurement parameter from direct intensity detection to cross-correlation detection. This parameter transformation allows the system to extract depth information from sparse aperture data by measuring the correlation between signals from different antenna elements, thereby maintaining measurement precision while using a simpler, sparser array configuration.
3Ease of operation
If conventional optical imaging is used for mmW scene representation, then ease of operation is maintained, but adaptability for three-dimensional imaging is limited
Solution Approach 1:
The patent makes the optical imaging system multi-functional by enabling it to perform both traditional 2D intensity imaging and 3D cross-correlation-based reconstruction using the same optical up-conversion hardware. This universality allows the system to adapt between different imaging modes without requiring separate dedicated systems, thereby improving versatility while maintaining ease of operation.
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 the full reconstruction of a three-dimensional mmW scene, improving imaging capabilities by leveraging the encoded depth information in cross-correlations between channels, as demonstrated through numerical simulations and computational experiments.
Implementation Method 1
an electro-optic (EO) modulator that converts the captured signal to the optical domain
Implementation Method 2
The optical beams from the fibers may then be allowed to propagate in free space, and interfere to form an optical image corresponding to the mmW scene on a CCD array
Data Source
AI summary
An apparatus and method may be used to create images, e.g., three-dimensional images, based on received radio-frequency (RF), e.g., millimeter wave, signals carrying image data. The RF signals may be modulated onto optical carrier signals, and the resulting modulated optical signals may be cross-correlated. The resulting cross-correlations may be used to extract image data that may be used to generate three-dimensional images.