Radar Alert Signal Processing for Multi-Target Scenario Detection
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Solution Overview
Problem
Detection systems face challenges in generating reliable alert signals, especially when multiple objects are present in the field of view, due to noise and other targets, making it difficult to identify the most significant target.
Innovation Solution
A system and method for generating alert signals in a detection system, such as an automotive radar system, by comparing data from received signals with stored scenarios, using latches to process extracted data, and performing FFT to identify raw detections, which are then pre-processed or directly provided to a tracker for further processing to determine if an alert signal should be sent based on scenario processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If multiple objects are detected in the field of view, then the detection system can identify more targets, but it becomes difficult to reliably generate alert signals due to noise and other targets
Solution Approach 1:
The patent segments the detection problem by creating multiple receive beams that divide the field of view into distinct angular sectors. Each beam independently processes signals from specific directions, allowing the system to handle multiple targets while maintaining reliable alert generation by evaluating scenarios within each beam's segmented view
Solution Approach 2:
The patent applies preliminary action by pre-storing multiple traffic scenarios (pass-from-rear, stagnation, side-merge, corridor, convoy) and their associated alert criteria before detection. When targets are detected, the system quickly compares current data against these pre-defined scenarios, enabling reliable alert generation even when multiple objects are present by matching patterns in advance
2Reliability
If the system processes all detected objects to ensure no significant target is missed, then detection completeness improves, but system complexity and processing time increase
Solution Approach 1:
The patent applies local quality by assigning different processing depths to different detected targets based on their significance. The system evaluates each target against stored scenarios and applies different alert criteria depending on the specific situation, rather than uniformly processing all targets with the same complexity level
Solution Approach 2:
The patent changes parameters by using multiple receive beams with different angular orientations and processing data through different scenario filters. This allows the system to maintain detection completeness by varying processing parameters (beam angles, scenario types, alert thresholds) rather than using a single complex processing path for all targets
Data Source
AI summary
A system and method for generating alert signals in a detection system is described. The system compares data extracted from signals received via receive antenna beams with stored scenarios and determines whether to generate an alert signal based upon the results of the compare operation. The comparison of data extracted from received signals with stored scenarios can be accomplished by using one or more latches to process the extracted data from the received signals. In one embodiment, raw detections are pre-processed to generate so-called field of view (FOV) products. The FOV products are then provided to a tracker. In another embodiment, rather than pre-process the raw detections, the raw detections are instead provided directly to a tracker which processes the raw detections to provide products including, but not limited to, relative velocity and other parameters.