Radio Wave Abnormality Detection with Variable Extraction Timing
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Solution Overview
Problem
Existing radio wave abnormality detection systems struggle to accurately identify interference or failures due to varying transmission durations in wireless communication systems, leading to inaccurate detection of radio wave abnormalities.
Innovation Solution
A radio wave abnormality detection system that determines an extraction period based on estimated transmission duration, generates a learned model using feature values from received data, and detects abnormalities using this model, effectively accounting for varying transmission durations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a fixed predetermined time is used for extracting amplitude feature values, then the detection process is simple, but detection accuracy deteriorates when transmission duration varies
Solution Approach 1:
The patent applies dynamics by making the extraction period variable rather than fixed. The determination unit dynamically adjusts the extraction period based on the transmission duration of radio waves. This allows the system to adapt the feature value extraction time window to match the actual transmission characteristics, thereby maintaining high detection accuracy across varying transmission durations while preserving operational simplicity through automated adjustment.
2Ease of operation
If the extraction period is fixed, then the system is simple to operate, but it cannot accurately detect abnormalities when transmission duration ratios differ
Solution Approach 1:
The system dynamically adjusts the extraction period based on detected transmission durations. When transmission duration varies, the determination unit modifies the extraction period accordingly, ensuring that feature values are always extracted from the appropriate time window. This dynamic adaptation maintains detection reliability across different transmission scenarios while keeping the system easy to operate through automated parameter adjustment.
Solution Approach 2:
The patent changes the extraction period parameter based on transmission duration observations. By modifying this key parameter dynamically, the system adapts to varying transmission characteristics without requiring complex manual configuration, thereby maintaining both operational simplicity and detection reliability.
3Ease of manufacture
If amplitude feature values are extracted at fixed intervals, then processing is straightforward, but detection accuracy fails when transmission duration varies
Solution Approach 1:
The feature value extraction process becomes dynamic by adjusting the extraction period based on transmission duration. Instead of using fixed intervals, the determination unit calculates appropriate extraction periods that match the actual transmission characteristics. This ensures that amplitude feature values are extracted and compared at accurate time points, maintaining processing straightforwardness while significantly improving feature value comparison accuracy.
Data Source
AI summary
A radio wave abnormality detection system, a radio wave abnormality detection method, and a radio wave abnormality detection program that are capable of accurately detecting a radio wave abnormality are provided.The radio wave abnormality detection system includes: a determination unit that determines an extraction period, based on a transmission duration estimated from first received data of a radio wave received at a first timing; a learning unit that generates a learned model in which a feature value extracted in the extraction period from second received data of a radio wave received at a second timing is machine-learned; and a detection unit that detects a radio wave abnormality by using a feature value extracted in the extraction period from third received data of a radio wave received at a third timing, and the learned model.