Indirect Radar Holography Compressive Sensing Reconstruction
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Solution Overview
Problem
Current indirect radar holography methods face challenges in accelerating the acquisition process while maintaining high resolution intensity measurements, requiring increased hardware precision and complexity.
Innovation Solution
The implementation of compressive sensing technology to reduce the number of radiation measurements by detecting signals at a lower number of strategically distributed spots across the scene, followed by processing to reconstruct a high-density signal pattern, utilizing sparse representation techniques like total variation and l1-norm minimization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the density of intensity measurements is increased to improve resolution and accuracy, then image quality is improved, but acquisition time increases and system complexity increases
Solution Approach 1:
The patent applies partial action by measuring intensity at only a subset of grid points rather than all points. Specifically, measurements are taken at M locations where M is less than the total number of grid points N, achieving adequate image reconstruction with fewer measurements, thereby reducing acquisition time while maintaining acceptable resolution
Solution Approach 2:
The patent segments the measurement process by dividing the scene into multiple sub-scenes or regions, and acquiring measurements from different subsets of locations for different sub-scenes. This allows parallel or sequential processing that reduces overall acquisition time while maintaining comprehensive scene coverage and image quality
2Measurement precision
If the density of intensity measurements is increased to improve resolution and accuracy, then image quality is improved, but device complexity increases
Solution Approach 1:
The patent reduces device complexity by requiring measurements at only M locations out of N total grid points, where M < N. This partial sampling approach maintains adequate image resolution while significantly reducing the number of measurement positions needed, thereby simplifying the mechanical positioning system and reducing hardware complexity
Solution Approach 2:
The patent changes the measurement parameter from requiring full-density sampling at all grid points to sparse sampling at selected locations. By modifying the sampling density parameter and using computational reconstruction algorithms, the system achieves comparable image quality with reduced measurement points, simplifying the overall system architecture
3Measurement precision
If the number of antenna elements is increased to achieve better resolution, then image resolution is improved, but device complexity and cost increase
Solution Approach 1:
The patent applies partial action by using a single receiving antenna that measures intensity at M selected locations rather than using a large array of N antenna elements. This approach achieves comparable resolution to an N-element array while using only one antenna, dramatically reducing device complexity and cost
Solution Approach 2:
The patent creates a virtual antenna array effect by having a single physical antenna visit multiple measurement locations in space. The intensity measurements collected at different positions are computationally processed to reconstruct images with resolution equivalent to what would be achieved with a full antenna array, effectively copying the functionality of multiple antennas through temporal and spatial sampling
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 significantly reduces scanning time and increases image resolution, overcoming the limitations of traditional sampling methods by enabling image reconstruction from fewer measurements.
Implementation Method 1
an illumination means for illuminating said scene with radiation according to an illumination signal
Implementation Method 2
a radiation detection means for detecting radiation emitted in a predetermined spectral range from a spot of said scene and for generating a radiation signal per spot from said detected radiation
Data Source
AI summary
An indirect radar holography apparatus for scanning a scene and generating a high-density signal pattern representing the scene. The apparatus illuminates the scene with radiation according to an illumination signal; generates a reference signal from the illumination signal; detects radiation emitted in a predetermined spectral range from a spot of the scene; generates a radiation signal per spot from the detected radiation; performs control so that radiation is detected at a number of spots distributed over the scene, the number being lower than the number of intensity signals of the high-density signal pattern; combines the radiation signals generated from the detected radiation and the reference signals to obtain a low-density signal pattern of intensity signals; and processes the intensity signals of said low-density signal pattern to generate the high-density signal pattern by applying compressive sensing to the low-density signal pattern.