Detector Signal Validity Determination Using Frequency Domain Scatter Plot
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Solution Overview
Problem
Conventional detectors face challenges in reliably determining the presence of specific radio frequency signals due to noise interference from methods like frequency shift keying (FSK) and multiple frequency shift keying (MFSK), which can cause malfunctions and reduce reliability.
Innovation Solution
A detector and method that involve receiving a synthesized signal, acquiring frequency domain calculation values, determining the presence of specific signals based on these values, and assessing the validity of this determination using a frequency domain scatter plot compared to a reference scatter plot, with the option to re-evaluate with a new signal if an invalid determination is made.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional detectors use standard signal detection methods, then the detection process is simple, but the reliability of signal presence determination deteriorates due to noise interference from FSK/MFSK methods
Solution Approach 1:
The detection process is segmented into multiple independent stages: initial signal detection based on frequency domain values, validity determination using scatter plot analysis, and conditional re-detection. This segmentation allows the system to maintain high reliability by verifying detections through multiple criteria while keeping each individual stage relatively simple.
Solution Approach 2:
The system performs preliminary actions by first determining the presence of a signal based on frequency domain calculation values, then separately validating this determination through scatter plot comparison before finalizing the detection result. This preliminary validation step prevents false positives without requiring complex real-time analysis throughout the entire detection process.
2Adaptability or versatility
If detectors operate in environments with noise from FSK/MFSK methods, then the detector can detect various signals, but false positive detections increase due to noise interference
Solution Approach 1:
The scatter plot analysis acts as an intermediary validation mechanism between the initial signal detection and the final detection decision. It compares the distribution of frequency domain values against expected patterns to determine validity, effectively filtering out false positives caused by noise while preserving true signal detections.
Solution Approach 2:
The system implements feedback by using the scatter plot validity determination to decide whether to accept the initial signal presence detection. If the scatter plot analysis determines the detection is invalid, the system can trigger re-detection or reject the false positive, creating a feedback loop that improves accuracy without sacrificing adaptability.
3Reliability
If the detector uses scatter plot analysis for validity determination, then false positive reductions improve reliability, but the processing time and computational complexity increase
Solution Approach 1:
The system applies partial action by performing scatter plot analysis only when needed - specifically when the initial signal presence determination is made, rather than continuously analyzing all possible signals. This selective application of the validity determination process reduces unnecessary computational time while maintaining high reliability for actual detections.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach enables the detector to distinguish effectively between noise and desired signals, enhancing its reliability in signal detection and reducing the likelihood of false positives due to noise interference.
Implementation Method 1
acquiring a plurality of frequency domain calculation values related to the synthesized signal
Data Source
AI summary
A method of determining validity for determination on presence of a specific signal of a detector according to an embodiment of the present disclosure includes: (a) receiving a synthesized signal generated from an outside by the detector; (b) acquiring a plurality of frequency domain calculation values related to the synthesized signal; (c) determining the presence of at least one specific signal based on the plurality of frequency domain calculation values; and (d) determining the validity for the determination on the presence of the specific signal based on a frequency domain scatter plot for the plurality of frequency domain calculation values.


