Radar Signal Processing Selective Output for Clutter Suppression
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Solution Overview
Problem
Existing radar systems face challenges in efficiently detecting high-speed moving targets due to the suppression of echo signals by scan-to-scan correlation processing, which also increases memory and calculation requirements, and complicates the configuration, while failing to accurately distinguish between target and clutter signals.
Innovation Solution
A target object detection signal processing device that selectively outputs reception data or scan-to-scan correlation data based on a threshold, using a recursive digital filter and low-pass filter to suppress clutter signals, allowing for the detection of high-speed moving targets without extensive memory or complex processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If scan-to-scan correlation processing is performed to suppress clutter signals, then clutter suppression is improved, but high-speed moving target detection deteriorates because their echo signals are suppressed
Solution Approach 1:
The patent applies different processing methods to different signal characteristics: for signals with high signal levels (likely targets), it uses reception data directly; for signals with low signal levels (likely clutter), it uses scan-to-scan correlation data. This local differentiation allows the system to suppress clutter where needed while preserving high-speed target detection capability.
Solution Approach 2:
The system dynamically switches between two processing modes based on signal characteristics. The output selection module adapts its behavior in real-time by choosing between reception data and scan-to-scan correlation data based on the signal level threshold, making the processing method flexible rather than fixed.
2Measurement precision
If scan-to-scan correlation processing is performed for many target objects, then target discrimination is improved, but memory capacity and calculation load increase enormously
Solution Approach 1:
Instead of applying scan-to-scan correlation processing to all detected signals, the system applies it selectively only to signals below the threshold level. This partial application reduces the computational burden while maintaining effective clutter suppression for the signals that need it most.
Solution Approach 2:
The system extracts and separates signals into two categories based on signal level: those above the threshold (treated as potential targets) and those below the threshold (treated as potential clutter). This extraction allows different processing strategies to be applied to each category, reducing overall system complexity.
3Object-affected harmful factors
If recursive digital filter processing is performed to suppress clutter, then clutter suppression is improved, but processing complexity increases due to coefficient changes
Solution Approach 1:
The patent replaces the complex recursive digital filter with a simpler threshold-based selection mechanism. Instead of using a sophisticated filter that requires coefficient changes and adaptation, the system uses a straightforward comparison against a fixed threshold to determine which data to output, significantly reducing processing complexity.
Data Source
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AI summary
This disclosure provides a target object detection signal processing device (10), which includes a reception data output module (20), to which a reception signal is inputted, for outputting reception data indicative of a signal level of the reception data, a scan-to-scan correlation processing module (11) for performing scan-to-scan correlation processing between the reception data and previous reception data indicative of a reception level of previously acquired reception signal to output scan-to-scan correlation data, and an output selection module (12), to which the reception data and the scan-to-scan correlation data are inputted, for selectively outputting either one of the data.