FMCW Radar Interference Detection With Adaptive Thresholding
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Solution Overview
Problem
FMCW radar systems face interference issues from other radar or communications systems using similar frequencies, leading to false targets, reduced dynamic range, and sensor blindness, which are not effectively addressed by existing detection techniques.
Innovation Solution
A data processing device that applies adaptive thresholding and high-pass filtering to FMCW radar signals, generating a mask to identify and mitigate interference by distinguishing between desired and interfering signals, using a combined mask approach for improved detection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If FMCW radar systems operate in the frequency spectrum around the instantaneous frequency, then radar detection capability is improved, but interference from other radar or communications systems increases
Solution Approach 1:
The patent applies preliminary action by performing interference detection and masking before Range Doppler processing. The adaptive thresholding and mask generation identify and flag interference samples in advance, allowing the main radar processing to proceed with corrected data, thus preventing interference from degrading detection capability.
Solution Approach 2:
The patent extracts interference from the radar signal by generating a binary mask that identifies interference samples. This mask is then applied to remove or flag the extracted interference components, separating them from the desired radar returns before further processing.
2Measurement precision
If adaptive thresholding is applied to detect interference, then interference detection accuracy is improved, but computational complexity increases
Solution Approach 1:
The patent segments the beat signal into multiple subsets and processes each subset independently to determine maximum magnitudes. This segmentation approach enables adaptive threshold calculation without requiring complex global analysis, balancing detection accuracy with computational efficiency.
Solution Approach 2:
The patent applies partial action by using only the necessary statistical measures (maximum magnitudes of subsets) to determine the adaptive threshold, rather than performing exhaustive analysis of all signal characteristics. This provides sufficient interference detection accuracy with reduced computational burden.
3Reliability
If interference mitigation is performed before Range Doppler processing, then radar performance is maintained, but processing time increases
Solution Approach 1:
The patent performs interference mitigation as a preliminary action before Range Doppler processing. By generating the interference mask and applying it to the beat signal in advance, the system maintains radar performance while enabling subsequent processing to proceed efficiently without interference degradation.
Solution Approach 2:
The radar system performs self-service by autonomously detecting and mitigating its own interference without requiring external intervention or complex external systems. The adaptive thresholding and mask generation are self-contained processes that maintain system performance independently.
Data Source
AI summary
A data processing device and method for detecting interference in FMCW radar signals, configured to use an adaptive thresholding technique to identify interference in a plurality of samples forming a beat signal, the adaptive thresholding including grouping the plurality of samples into a plurality of subsets, determining a maximum magnitude of each subset and extracting an nth lowest maximum magnitude of the plurality of subsets to determine an adaptive threshold, and applying the adaptive threshold to each sample to generate a mask.