Radar DOA Processing with AOI-Guided Steering Vectors
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Solution Overview
Problem
Existing radar data processing systems face challenges in accurately determining the direction-of-arrival (DOA) of radar signals, particularly in dynamic environments, due to the need for high-resolution DOA information and the increased computational load associated with processing a larger number of signals and phases.
Innovation Solution
The proposed radar data processing method predicts an angle-of-interest (AOI) region based on a Doppler map generated from radar data, adjusts steering information to focus on the AOI region, and determines DOA information by searching for a matched steering vector among the adjusted steering information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If high-resolution DOA information is obtained by processing a larger number of signals and phases, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent segments the steering information processing into two distinct phases: offline generation of candidate steering vectors covering the entire angular range, and online selection of only those vectors corresponding to the AOI region. This segmentation allows high-resolution DOA processing to be achieved selectively in the AOI region without the computational burden of processing all possible steering vectors, thus resolving the contradiction between measurement precision and device complexity
Solution Approach 2:
The patent performs preliminary action by pre-generating and storing candidate steering vectors for all possible angles before actual radar signal processing. During online operation, only the pre-computed vectors corresponding to the predicted AOI region need to be retrieved and processed, eliminating the need for real-time computation of all steering vectors and significantly reducing computational load while maintaining high-resolution DOA capability
2Measurement precision
If the number of steering vectors is increased to improve DOA resolution, then measurement precision is improved, but processing time increases
Solution Approach 1:
The patent applies local quality by concentrating computational resources and steering vector density specifically in the AOI region where high-resolution DOA information is most needed for target detection and tracking. Outside the AOI region, fewer or no steering vectors are processed, allowing high processing speed to be maintained while achieving high DOA resolution locally in the critical angular region
3Productivity
If steering information is adjusted to focus on AOI region, then productivity is improved, but device complexity increases
Solution Approach 1:
The patent implements feedback by using Doppler map information to predict the AOI region and dynamically adjust the steering information accordingly. The Doppler map provides feedback about target motion characteristics, which feeds back into the steering vector selection process to optimize processing focus. This feedback mechanism enables automatic adaptation to changing target scenarios without requiring complex manual configuration or additional hardware
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 acquisition of high-resolution DOA information with a reduced computational complexity, improving the accuracy of radar data processing and enhancing the ability to detect and track targets in dynamic environments.
Implementation Method 1
a Doppler map generated from radar data, the Doppler map being a map indicating Doppler information of target points sensed by a radar sensor
Implementation Method 2
a radar sensor configured to sense radar data
Data Source
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AI summary
A method for processing radar data including predicting an angle-of-interest (AOI) region based on a Doppler map generated from radar data, adjusting steering information based on the predicted AOI region, the steering information being used to identify the radar data, and determining direction-of-arrival (DOA) information corresponding to the radar data based on the adjusted steering information. A radar data processing apparatus including a radar sensor to sense radar data and a processor to predict an (AOI) region based on a Doppler map generated from the radar data, to adjust steering information, which is used to identify the radar data, based on the predicted AOI region, and to determine DOA information corresponding to the radar data based on the adjusted steering information.