Radar Sensor Interference Detection via Window Segmentation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Radar sensors for motor vehicles face challenges in reliably detecting interference in received signals, which can falsify object detection due to oversampling and limited computing power, leading to high computing effort.
Innovation Solution
A method that shifts a window of predetermined sample values along the series to detect interference by determining a similarity measure, reducing the need to check each sample value and adapting the window size based on interference proportion, thereby reducing computing effort and ensuring reliable detection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a window is shifted by only one sample value to check every sampled value for interference, then measurement precision is improved, but computing effort increases significantly
Solution Approach 1:
The patent divides the sampled values into segments by shifting the window by multiple sample values (e.g., 2 or more) instead of one value at a time. This segmentation approach processes fewer window positions while still effectively detecting interference, thereby reducing computing effort while maintaining detection precision.
2Measurement precision
If the sampling frequency is increased to capture all interference details, then measurement precision is improved, but use of energy and computing power increases
Solution Approach 1:
The patent applies partial action by not checking every single sampled value for interference. Instead, it checks a subset of sampled values by shifting the window by multiple sample values, which is sufficient to detect interference patterns without the excessive computing power required to examine every sample point.
3Reliability
If every sampled value is checked for interference, then reliability of detection is improved, but loss of time increases due to extensive processing
Solution Approach 1:
The patent segments the detection process by evaluating similarity measures at spaced intervals rather than at every sample point. This segmentation maintains detection reliability through the similarity measure comparison while significantly reducing the time required to process all sampled values.
Data Source
Figure 1
Figure 2
Figure 3
AI summary
The invention relates to a method for detecting interference in a received signal (13) of a radar sensor (5, 6) of a motor vehicle (1) by means of a computing device, in which a series of sampled values (15) is determined, wherein the sampled values (15) characterize the received signal (13) sampled at a predetermined sampling frequency, a window (16) is predefined which comprises a predetermined number of sampled values (15) of the series and which is shifted to different positions along the series, wherein a detection cycle is carried out at each position of the window (16) in which a similarity measure, which describes a deviation of the sampled values (15) in the window (16) from each other, is determined and for at least one sampled value (17) of the sampled values (15) in the window (16) it is determined on the basis of the similarity measure whether it is influenced by interference.wherein, in normal operation of the computing device, the window (16) is shifted along the row by at least two sample values (15) at each stage.