RFID SOF Signal Detection via Temporal Feature Extraction
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Solution Overview
Problem
Current RFID reader-writer systems face challenges in reducing power consumption and circuit size due to the complexity of calculating cross-correlation functions for detecting Start Of Frame (SOF) signals, particularly when handling different signal patterns.
Innovation Solution
A signal processing device that extracts specific components from the received signal, using extraction sections to identify modulation and non-modulation parts based on predetermined time periods, allowing for efficient detection of SOF signals defined in International Standard ISO/IEC15693, thereby reducing power consumption and circuit size.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If cross-correlation function calculation is used to detect SOF signals, then detection accuracy is improved, but power consumption and circuit size increase
Solution Approach 1:
The patent extracts only the essential characteristics of the SOF signal (modulation part lasting first time period and non-modulation part lasting second time period) rather than performing complete cross-correlation calculation. The detection section identifies SOF by extracting these key temporal features directly from the received signal, eliminating the need for complex cross-correlation functions while maintaining detection accuracy.
Solution Approach 2:
The patent replaces the expensive and complex cross-correlation calculation with a simpler, more economical detection method that uses basic signal extraction and timing measurement. This simpler approach consumes less power and requires smaller circuitry while achieving the same detection function.
2Measurement precision
If cross-correlation function calculation is used to detect SOF signals, then detection accuracy is improved, but circuit size increases
Solution Approach 1:
The patent extracts only the essential characteristics of the SOF signal (modulation part lasting first time period and non-modulation part lasting second time period) rather than performing complete cross-correlation calculation. The detection section identifies SOF by extracting these key temporal features directly from the received signal, eliminating the need for complex cross-correlation functions while maintaining detection accuracy.
Solution Approach 2:
The patent replaces the expensive and complex cross-correlation calculation with a simpler, more economical detection method that uses basic signal extraction and timing measurement. This simpler approach consumes less power and requires smaller circuitry while achieving the same detection function.
3Adaptability or versatility
If separate SOF detection means are provided for different signal patterns, then detection capability is improved, but device complexity increases
Solution Approach 1:
The patent creates a universal SOF detection method that can handle different signal patterns (ISO15693 standards) using a single detection section. The extraction section identifies the modulation part and non-modulation part regardless of the specific pattern, allowing the same detection logic to work for multiple signal types without requiring separate detection circuits for each pattern.
Solution Approach 2:
The patent detects different signal patterns by measuring temporal parameters (first time period for modulation part, second time period for non-modulation part) rather than requiring separate detection mechanisms. By changing the measurement approach to focus on time duration parameters, the system can adapt to different patterns using the same hardware structure.
Data Source
AI summary
A signal processing device includes: an extraction section configured to extract a signal having a predetermined component from an obtained signal; and a detection section configured to determine a timing of decoding when a modulation part lasting for a first time period and a non-modulation part lasting for a second time period are detected from the signal extracted by the extraction section.


