Passive Tag Detection via Multi-Parameter Signal Analysis
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Solution Overview
Problem
Passive identification tags, lacking internal batteries and antennas, provide less information and are less effective in detection compared to active tags, necessitating improved detection methods to enhance their utility in inventory and supply chain management.
Innovation Solution
A system and method for detecting passive identification tags using radio frequency signals, analyzing tag responses as multidimensional vectors to determine unique identification codes, adjusting signal parameters for improved detection accuracy, and utilizing layered structures for enhanced response generation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If passive identification tags are used instead of active identification tags, then cost and size are reduced, but information delivery capability and detection effectiveness deteriorate
Solution Approach 1:
The patent applies parameter changes by analyzing multiple signal parameters (amplitude, phase, group delay, phase delay) across different frequency ranges. Instead of relying on a single detection parameter, the system measures and processes multiple parameters simultaneously to extract tag identification information, thereby compensating for the limited information capacity of passive tags while maintaining their cost advantage.
Solution Approach 2:
The patent transitions from single-dimensional detection to multi-dimensional analysis by examining signals across multiple frequency ranges and multiple parameter dimensions (amplitude, phase, group delay, phase delay). This dimensional expansion enables the system to extract sufficient identification information from passive tags without requiring additional hardware components.
2Weight of stationary object
If passive identification tags are used instead of active identification tags, then tag size and weight are reduced, but detection accuracy deteriorates due to environmental degradation and noise
Solution Approach 1:
The patent implements feedback mechanisms by continuously monitoring multiple signal parameters and using this information to adjust and refine tag identification. The system measures amplitude, phase, group delay, and phase delay parameters, then uses this feedback information to compensate for environmental interference and improve detection accuracy, enabling reliable identification despite the tag's passive nature and environmental challenges.
Solution Approach 2:
The patent applies beforehand cushioning by measuring and analyzing multiple signal parameters across different frequency ranges before making final identification decisions. This preparatory multi-parameter measurement approach creates a buffer against environmental noise and degradation, ensuring that transient interference does not compromise detection accuracy.
3Device complexity
If passive identification tags are used instead of active identification tags, then manufacturing complexity is reduced, but detection capability deteriorates
Solution Approach 1:
The patent applies universality by designing a detection system that can extract multiple types of information (amplitude, phase, group delay, phase delay) from a single passive tag response across multiple frequency ranges. This multi-functional detection approach compensates for the tag's simplicity, enabling the system to achieve comprehensive identification capability without increasing tag complexity.
Solution Approach 2:
The patent overcomes detection difficulties by expanding the detection process into multiple dimensions - measuring signals across different frequency ranges and analyzing multiple parameter dimensions (amplitude, phase, group delay, phase delay). This dimensional expansion compensates for the passive tag's limited active capabilities, maintaining detection effectiveness while preserving tag simplicity.
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 accurate and efficient identification of passive identification tags, overcoming detection challenges due to environmental degradation and noise, while reducing tag size, weight, and cost.
Implementation Method 1
a first detection signal having a first frequency range... transmitted to the passive identification tag
Implementation Method 2
a resonance layer disposed on the substrate... generates a first tag response in response to receiving the first detection signal
Data Source
AI summary
System, device, and method for detecting a passive identification tag and identifying a tag ID for the passive identification tag are provided. The system can include a transmitting system, a passive identification tag, and a receiving system. The transmitting system generates one or more detection signals to interrogate the passive identification tag, where the one or more detection signals includes a first detection signal having a first frequency range. The passive identification tag receives the one or more detection signals, and generates at least a first tag response in response to the first detection signal. The receiving system receives the first tag response, and processes the first tag response to determine a plurality of signal components for the first frequency range, where the plurality of signal components can be used to determine the tag ID.


