Radar Signal Segmentation for Accurate Interference Detection
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Solution Overview
Problem
Radar signals are susceptible to interference from other radar signals, leading to degraded processing performance, especially when interference sections are long, making it difficult to accurately determine the presence of interference and measure distance or speed accurately.
Innovation Solution
A radar device that divides a continuous time-series signal into sections, calculates representative values for each section, classifies them based on interference levels, and sets an interference determination threshold to accurately identify and remove interference, thereby enhancing measurement accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the radar signal processing is performed without interference countermeasures, then the processing is simple, but the measurement accuracy degrades due to interference from other radar signals
Solution Approach 1:
The continuous time-series signal is divided into multiple sections, allowing the system to identify and handle interference-affected sections separately from clean sections. This segmentation enables precise interference detection without processing the entire signal with complex algorithms.
Solution Approach 2:
The invention extracts representative values from individual sections and isolates interference-affected sections for separate handling. By extracting section representative values and comparing them, the system identifies interference sections without requiring complex global signal processing.
2Measurement precision
If conventional interference detection methods are used, then the processing is simple, but the interference detection accuracy is insufficient, especially when interference sections are long
Solution Approach 1:
The system applies different processing approaches to different sections based on their local characteristics. Clean sections are used to establish thresholds, while interference-affected sections are identified by comparing against these thresholds. This local quality approach improves detection accuracy without uniformly increasing complexity across all sections.
Solution Approach 2:
The invention performs preliminary classification of sections into clean and interference-affected categories before final interference determination. By pre-identifying clean sections and calculating their representative values first, the system establishes a baseline for detecting interference in subsequent sections.
3Measurement precision
If the entire time-series signal is processed uniformly, then the processing is simple, but the interference determination threshold becomes inaccurate when interference sections are included in the calculation
Solution Approach 1:
The signal is segmented into sections that are then classified as either clean or interference-affected. Only clean sections are used to calculate the interference determination threshold, ensuring accuracy. This segmentation prevents contamination of the threshold calculation by interference data.
Solution Approach 2:
Section representative values act as intermediaries between the raw signal and the final interference determination. These representative values summarize each section's characteristics and enable comparison between clean and interference-affected sections without directly processing the entire signal.
Data Source
AI summary
A radar device includes: a section generation unit configured to generate sections to divide a continuous time-series signal into ranges; a section representative value calculation unit configured to calculate a section representative value that is a representative value of the time-series signal within each of the ranges; a classification unit configured to classify the section representative value between a high interference section representative value containing much interference and a low interference section representative value containing little interference; a threshold calculation unit configured to calculate an interference determination threshold based on the low interference section representative value; and a determination value calculation unit configured to calculate an interference determination value based on the interference determination threshold.