Multi-channel Radar Interference Mitigation via Sample Segmentation
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Solution Overview
Problem
Radar systems face interference issues due to noise floor elevation, leading to unreliable object detection and tracking, especially when multiple radar systems are present in the same environment, causing false detections and increased computational complexity in existing mitigation techniques.
Innovation Solution
The implementation of multi-channel joint interference mitigation techniques, which identify and suppress interference by comparing sets of radar radiation samples with and without interference, using spatially coherent features across channels to project out contaminated samples without phase discontinuity, thereby reducing spectrum spreading and false detections.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If conventional interference mitigation techniques are used, then interference suppression is achieved, but false detections increase and computational complexity increases
Solution Approach 1:
The patent segments the received radar signals into multiple channels and identifies interference-affected time samples separately from clean samples. By dividing the signal processing into distinct segments (interference-containing segments and clean segments), the system can apply different processing strategies to each, suppressing interference while preserving true targets and avoiding false detections.
Solution Approach 2:
The patent performs preliminary identification of interference-affected samples before generating final radar data. By detecting and flagging contaminated samples in advance, the system can then apply interference suppression selectively to only those samples, preventing false detections from propagating through the data generation process while maintaining computational efficiency.
2Object-affected harmful factors
If conventional interference mitigation techniques are used, then interference suppression is achieved, but computational complexity increases
Solution Approach 1:
The patent divides the signal processing into segmented steps: identifying clean samples, identifying interference-affected samples, estimating interference separately for each segment, and suppressing interference. This segmentation allows the system to process only contaminated portions with full interference mitigation, while clean portions require minimal processing, significantly reducing overall computational complexity.
Solution Approach 2:
The patent applies full interference mitigation processing only to the extent necessary - specifically to interference-affected samples identified through preliminary detection. Rather than processing all samples with complex interference mitigation algorithms, the system applies partial action only where needed, reducing computational burden while maintaining effective interference suppression.
3Measurement precision
If interference mitigation is applied, then sensitivity is improved, but detection information from interference sources may be lost
Solution Approach 1:
The patent performs preliminary detection of interference-affected samples before applying suppression, allowing the system to identify and preserve genuine target signals that coincide with interference periods. By detecting contamination status in advance, the system can differentiate between true targets and interference, maintaining sensitivity while preventing information loss about actual objects.
Solution Approach 2:
The patent dynamically adjusts interference suppression based on the detected interference characteristics and sample contamination status. Rather than applying fixed suppression that would lose all information during interference periods, the system adaptively determines the appropriate level of suppression for each sample, preserving detection information about true targets while removing interference to maintain sensitivity.
Data Source
AI summary
This document describes techniques, apparatuses, and systems for multi-channel joint interference mitigation. Radar radiation received by a radar system may include interference from other nearby radar systems. The interference can result in reduced sensitivity of the radar system. The techniques, apparatuses, and systems described herein mitigate the interference by identifying a set of samples of the radar radiation with interference. The interference can be estimated and mitigated by comparing this set (e.g., with interference) to a set of samples without interference and suppressing the interference without suppressing the detected signal. Further, the interference can be analyzed to determine if the interference contains detection information of one or more objects (e.g., other vehicles with radar systems causing interference). In this manner, interference mitigation may be obtained without losing information included in the set of samples including interference.