Wireless Identification Signal Pulse Width Ratio Encoding
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Solution Overview
Problem
Existing methods for contactless reading of identification elements are prone to errors due to disturbance variables like pressure and temperature, which affect the time base and reduce the number of identifiable elements, as production errors can alter the desired time interval, limiting the number of readable identification elements.
Innovation Solution
Incorporating class information independent of the base sequence into the signal, allowing the evaluation grid to be adapted, which can account for known disturbance variables during production or post-calibration, and using this information to correct for interference, enabling more accurate reading of a larger number of identification elements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a time base sequence is inserted into the signal to account for interference variables, then the reading accuracy under disturbance conditions improves, but production errors can alter the desired time interval causing reliable reading to fail
Solution Approach 1:
The patent changes the parameter representation by using pulse width ratios instead of absolute time intervals. The class information is encoded in the dimensionless ratio between the first pulse width and second pulse width, which remains invariant under time base distortions caused by production errors or environmental disturbances. This parameter transformation resolves the contradiction by making the measurement immune to timing variations.
Solution Approach 2:
The signal structure combines multiple pulse components (first pulse, second pulse, third pulse) with different functions into a composite signal. The first and second pulses define the time base while the third pulse carries class information encoded in its width ratio. This composite structure allows simultaneous encoding of temporal reference and classification data that are independent of each other, resolving the reliability issue.
2Reliability
If identification sequences are selected to distinguish elements despite disturbance variables, then reading reliability improves, but the number of identifiable elements is limited
Solution Approach 1:
The patent adds a new dimension to the signal encoding by introducing pulse width ratio as an independent parameter. Instead of relying solely on temporal positioning (one dimension), the system uses the ratio dimension to encode class information. This dimensional expansion allows more identification elements to be distinguished without compromising reliability, as the class information becomes independent of time base variations.
Solution Approach 2:
The identification signal is segmented into distinct functional components: time base definition (first and second pulses) and class information encoding (third pulse width ratio). This segmentation allows each component to serve its specific function independently, enabling the system to maintain reliability for time-based operations while expanding capacity through additional class categories.
3Adaptability or versatility
If class information is transmitted using pulse width ratios, then the system becomes independent of time base variations, but the signal structure becomes more complex
Solution Approach 1:
The patent applies local quality by assigning specific functional characteristics to specific pulse components. The first and second pulses maintain uniform width for time base definition, while the third pulse's width varies relative to the others to encode class information. This localized differentiation allows the system to achieve time base independence without requiring complex modulation across the entire signal structure.
Data Source
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AI summary
A method for reading out different identification elements in a wireless fashion is described, wherein a reading out unit receives a signal (1), containing a basic sequence (2) and an identification sequence (3), from an identification element, and a grid (6) for evaluating the identification sequence (3) is generated from the basic sequence (2). In order to permit a relatively large number of identification elements to be read out without faults having to be accepted during the reading out of the identification sequence despite the influence of disrupting variables, it is proposed that the basic sequence (2) contains class information which is independent of the basis, on the basis of which the grid (6) is adapted for the evaluation of the identification sequence (3).