Signal Processing Apparatus Dynamic Threshold for Peak Control
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Solution Overview
Problem
Radar signal detection systems using the CFAR process face increased processing loads when numerous peaks exceed the threshold, potentially leading to the non-extraction of important object peaks due to upper limit constraints.
Innovation Solution
A signal processing apparatus that sets an intensity threshold based on the number of extracted peaks in a previous intensity distribution to suppress the number of target peaks in a new intensity distribution, ensuring that the extraction process does not exceed a predetermined upper limit, thereby preventing the non-extraction of important object peaks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the intensity threshold is set low to detect all peaks, then the detection completeness is improved, but the processing load increases and important peaks may be missed due to upper limit constraints
Solution Approach 1:
The intensity threshold is dynamically adjusted based on the number of peaks detected in the previous time period. When the peak count exceeds a predetermined threshold, the intensity threshold is increased to reduce the number of detected peaks, thereby controlling processing load while maintaining detection of important peaks.
Solution Approach 2:
The system uses feedback from the previous time period's peak detection results to adjust the current time period's intensity threshold. The number of peaks detected previously serves as feedback to determine whether to raise or maintain the threshold, creating a closed-loop control system that balances detection completeness with processing efficiency.
2Productivity
If the intensity threshold is set high to reduce processing load, then the processing efficiency is improved, but the detection completeness deteriorates and important object peaks may be missed
Solution Approach 1:
The intensity threshold is not fixed but dynamically adjusted based on real-time feedback from peak detection results. When the system detects that too many peaks are being processed, it automatically raises the threshold to improve efficiency, and can lower it when detection completeness is compromised, achieving a dynamic balance between the two objectives.
Solution Approach 2:
The system implements a feedback mechanism where the detection results from the previous time period inform the threshold setting for the current period. This feedback loop ensures that the threshold is optimized based on actual detection needs, preventing both over-detection and under-detection of important peaks.
3Productivity
If the upper limit number of extracted peaks is set low to control processing load, then the processing efficiency is improved, but the reliability of object detection deteriorates
Solution Approach 1:
The system performs preliminary action by setting an appropriate intensity threshold before peak extraction to pre-filter the signal. This preliminary filtering reduces the number of peaks that need to be processed, ensuring that the upper limit is not exceeded while maintaining detection of important peaks, thus preserving reliability within processing constraints.
Solution Approach 2:
The system changes the intensity threshold parameter dynamically to adapt to different detection scenarios. By adjusting this parameter based on the number of peaks detected in previous periods, the system optimizes the balance between processing efficiency and detection reliability, ensuring that important peaks are not lost due to arbitrary upper limits.
Data Source
AI summary
A signal processing apparatus is mounted in a moving body and performs a process for measuring an object present in a vicinity of the moving body. The apparatus sets an intensity threshold corresponding to an intensity distribution based on at least one measurement signal periodically generated, and extracts at least one target peak that is a peak that is greater than the intensity threshold in the intensity distribution, using an upper limit number set in advance as an upper limit. The apparatus stores, in a storage unit, the number of extracted peaks that is the number of the at least one target peak extracted, and sets the intensity threshold so as to suppress the number of the at least one target peak in a new intensity distribution from exceeding the upper limit number, based on the number of extracted peaks in a previous intensity distribution stored in the storage unit.