Fast Imaging Method Using Antenna Array Phase Weighting
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Solution Overview
Problem
Traditional digital holographic imaging technology has high operation costs, low imaging speed, and limited compatibility between passive and active imaging methods, making it unsuitable for long-distance imaging and requiring significant hardware resources.
Innovation Solution
A fast imaging method that uses an antenna array with phase and amplitude weighting, combined with efficient parallel algorithms, to unify imaging processes for both passive and active imaging, reducing operation complexity and enabling long-distance imaging.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional digital holographic imaging technology uses sequential FFT and IFFT operations for phase compensation, then imaging resolution is improved, but operation amount increases and imaging speed decreases
Solution Approach 1:
The patent combines the FFT and IFFT operations into a single unified algorithmic framework. By integrating the phase compensation step within the IFFT operation itself, the method eliminates the need for separate sequential operations, thereby reducing total operation count while maintaining imaging resolution quality.
Solution Approach 2:
The patent performs phase compensation preliminarily by incorporating it into the data preparation stage before the main IFFT operation. This preliminary action allows the phase information to be pre-processed and integrated, so that the actual imaging operation requires fewer computational steps, improving imaging speed without sacrificing resolution.
2Measurement precision
If traditional digital holographic imaging technology performs two sequential operations of FFT and IFFT, then phase compensation is achieved, but hardware cost and operation cost increase
Solution Approach 1:
The patent merges the phase compensation function with the IFFT operation, eliminating the need for separate hardware modules dedicated to phase compensation. This integration reduces hardware complexity and configuration requirements while maintaining accurate phase compensation capability.
Solution Approach 2:
The patent creates a unified algorithm that performs multiple functions (phase compensation, Fourier transformation, and image reconstruction) within a single operational framework. This multi-functional approach reduces the need for specialized hardware components, lowering both hardware cost and operation cost.
3Measurement precision
If traditional digital holographic imaging technology uses phase compensation method depending on object distance parameter U, then near field imaging is achieved, but the method fails for long-distance imaging
Solution Approach 1:
The patent changes the fundamental parameter approach by replacing the object distance parameter U with a unified algorithmic framework that automatically adapts to different distance scenarios. This parameter transformation allows the same method to work effectively for both near-field and far-field imaging by changing how distance information is processed rather than requiring different methods.
Solution Approach 2:
The patent develops a universal imaging method that functions across multiple imaging scenarios (near-field, far-field, passive, and active imaging) through a single unified algorithm. This eliminates the need for separate phase compensation methods for different distance ranges, achieving versatility while maintaining imaging quality.
4Measurement precision
If different fast imaging methods are developed separately for passive imaging and active imaging, then each imaging mode achieves optimized performance, but compatibility between methods decreases and practical use becomes difficult
Solution Approach 1:
The patent creates a universal fast imaging algorithm that seamlessly handles both passive imaging and active imaging modes within the same framework. By designing the algorithm to automatically adapt to the imaging mode through parameter selection rather than structural changes, it achieves both mode-specific optimization and cross-mode compatibility.
Solution Approach 2:
The patent introduces dynamic adaptability into the imaging algorithm, allowing it to automatically adjust its behavior based on the imaging mode (passive or active) and distance conditions. This dynamic characteristic enables the same algorithm to optimize performance for each mode while maintaining overall compatibility, eliminating the need for separate fixed methods.
Data Source
AI summary
The present invention relates to the technical fields of optical imaging, microwave imaging, radar detection, sonar, ultrasonic imaging, and target detection, imaging identification and wireless communication based on media such as sound, light and electricity, and in particular, to a fast imaging method suitable for passive imaging and active imaging and application of the fast imaging method in the above fields. According to the method provided by the present invention, image field distribution corresponding to a target is achieved based on a lens imaging principle, in combination with an electromagnetic field theory, according to a target signal received by an antenna array, through the amplitude and phase weighting of a unit signal and by using an efficient parallel algorithm. The method provided by the present invention has the advantages of capability of being compatible with passive imaging and holographic imaging, good imaging effect, small operation amount, low hardware cost, high imaging speed and suitability for long-distance imaging, and can be widely applied in the fields of optical imaging, microwave imaging, radar detection, sonar, ultrasonic imaging, and target detection, imaging identification and wireless communication based on media such as sound, light and electricity.