Radar Processing Device Antenna Grouping Spatial Resolution
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Solution Overview
Problem
Radar systems face challenges in achieving consistent spatial resolution when imaging objects at varying distances due to dynamic changes in the distance between the object and the radar module, leading to excessive calculation processing and imaging deterioration.
Innovation Solution
A processing device and radar system that dynamically groups antennas based on the object's distance and shape, using a processor to determine the optimal antenna configuration for cooperative operation and applying synthesis methods such as complex region or image region synthesis to generate high-resolution radar images.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If antenna grouping is performed based on object distance and shape, then spatial resolution and imaging accuracy are improved, but device complexity and processing overhead increase
Solution Approach 1:
The patent divides the antenna array into multiple sub-arrays or groups based on the object's distance and shape characteristics. Each antenna group processes radar signals independently to generate localized radar images, which are then synthesized into a final high-resolution image. This segmentation allows the system to focus computational resources on relevant antenna subsets rather than processing all antennas uniformly, thereby improving spatial resolution while managing processing complexity.
Solution Approach 2:
The antenna grouping configuration is dynamically adjusted according to the detected object's distance and shape. The system continuously monitors object parameters and reconfigures which antennas are activated and how they are grouped, optimizing the radar imaging process in real-time. This dynamic adaptation enables the system to maintain high spatial resolution across varying object distances without requiring all antennas to operate at full capacity simultaneously.
2Reliability
If all antennas are used for radar signal processing, then comprehensive object imaging is achieved, but calculation processing becomes excessive
Solution Approach 1:
The patent extracts and utilizes only the necessary subset of antenna signals required for effective object imaging at given distance and shape conditions. By analyzing which antenna groups provide the most valuable information for the current imaging task, the system extracts relevant radar echoes and discards or de-prioritizes redundant signals, thereby maintaining imaging accuracy while significantly reducing calculation processing requirements.
Solution Approach 2:
The system performs partial processing by focusing computational effort on specific antenna groups rather than uniformly processing all antenna signals. This selective approach applies processing resources excessively to the most informative antenna subsets while applying minimal or no processing to less relevant signals, achieving reliable imaging results with reduced overall computational burden.
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 allows for consistent and accurate radar imaging across varying distances, reducing excessive calculation processing and improving spatial resolution while maintaining image quality.
Implementation Method 1
receive the first radar echoes based on reflected waves of the first radar signals
Data Source
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AI summary
According to one arrangement, a processing device includes a processor (13). The processor (13) is configured to acquire first radar echoes from a plurality of first antennas (1,2), generate a first radar image by calculating a spatial correlation between the first radar echoes represented by complex numbers, acquire second radar echoes from a plurality of second antennas (1,2), generate a second radar image by calculating a spatial correlation between the second radar echoes represented by complex numbers, and generate a third radar image by applying at least one of a first synthesis method by synthesis of pixel values represented by complex numbers or a second synthesis method by image synthesis to the generated first and second radar images.