RFID Read-Write Apparatus Noise Level Extraction
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Solution Overview
Problem
Existing RFID read-write processing systems face challenges in reliably distinguishing between communication errors caused by noise and other factors, and in preventing communication errors due to high noise levels, with existing methods being complex and prone to errors even after noise checks.
Innovation Solution
A read-write processing apparatus equipped with a wait condition setting, noise level extraction, and reporting means, which transmits only a carrier wave to assess noise levels and display or output the extracted noise level, allowing users to determine if errors are noise-related, and includes history data memory to analyze communication failures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If prior art methods transmit commands and perform correlation calculations to check noise levels, then communication reliability is improved, but device complexity and process complexity increase significantly
Solution Approach 1:
The patent extracts only the essential noise detection function from the complex prior art methods. Instead of performing full correlation calculations with multiple threshold checks, the system transmits a simple test command and evaluates the received signal's correlation with the transmitted signal in a simplified manner, extracting only the necessary noise level information while discarding unnecessary processing steps.
Solution Approach 2:
The patent performs noise level detection as a preliminary action before actual data communication. By transmitting a test command and evaluating the received signal beforehand, the system determines whether the communication environment is suitable for reliable data transmission, preventing wasted communication attempts in high-noise conditions.
2Reliability
If correlation calculations are performed to detect noise levels, then communication errors due to noise are reduced, but processing time and computational load increase
Solution Approach 1:
The patent performs a partial correlation evaluation rather than a complete analysis. The system calculates correlation between transmitted and received signals but uses a simplified evaluation method that checks whether the correlation exceeds a threshold, rather than performing exhaustive correlation analysis. This provides sufficient noise detection capability with reduced processing time.
3Reliability
If test communications are carried out before actual operations, then communication errors are detected, but system productivity decreases due to additional processing steps
Solution Approach 1:
The patent merges the noise detection function with the existing command transmission protocol. The test command uses the same communication format and channels as actual data commands, allowing noise level assessment to be integrated into the normal communication flow without requiring separate dedicated test procedures or additional communication channels.
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
Enables users to easily identify noise-related communication errors and prevent them by stopping or delaying communication until noise levels are stable, thereby improving communication reliability and accuracy.
Implementation Method 1
When an RFID tag without containing an inner power source is used, an induced electromotive force is generated in the antenna coil on the side of the RFID tag by means of transmission waves from the antenna part such that a control circuit inside the RFID tag will be driven.
Data Source
AI summary
A read-write processing apparatus communicates with an RFID tag provided with a semiconductor memory to exchange commands and responses through antenna coils. A condition under which only a carrier wave is transmitted is set prior to a communication with the RFID tag and a level from a reception signal obtained under this condition is extracted as noise level. The extracted noise level is displayed or outputted to an output host apparatus.