Digital Signal Decoding Mitigating Duty Cycle Distortion
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Solution Overview
Problem
Existing decoding techniques for digital signals are prone to errors due to distortions such as duty cycle distortion and jitter, especially in lightweight decoding systems used for RFID and NFC applications.
Innovation Solution
A decoding framework that uses signal measurements, including lengths between edges of the same sign, to classify signal lengths into defined classifications and generate an output bit stream based on these classifications, thereby mitigating distortions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional decoding techniques are used for digital signals, then the decoding process is simple and lightweight, but the output bit stream accuracy deteriorates due to duty cycle distortion and jitter
Solution Approach 1:
The patent segments the decoding process into multiple distinct stages: signal measurement, length classification, and bit stream generation. By dividing the decoding function into modular components, the system achieves higher accuracy through systematic processing while maintaining manageable complexity through clear separation of concerns. Each segment handles a specific aspect of distortion mitigation.
Solution Approach 2:
The patent performs preliminary classification of signal lengths into defined categories before generating the output bit stream. By pre-classifying signal measurements according to their length characteristics, the system prepares the data in advance to handle duty cycle distortion and jitter more effectively, improving accuracy without adding significant complexity to the real-time decoding process.
2Measurement precision
If signal measurements are taken between consecutive edges of the same sign to mitigate distortion, then the accuracy improves, but the measurement and classification process becomes more complex
Solution Approach 1:
The patent changes the measurement parameter from traditional rising/falling edge transitions to consecutive edges of the same sign. This parameter change allows the system to measure signal lengths that are less sensitive to duty cycle distortion and jitter, improving measurement precision. The classification system then processes these refined measurements through defined length categories to extract accurate bit stream data.
Data Source
AI summary
Various embodiments of the present disclosure disclose decoding techniques for mitigating data corruption due to duty cycle distortion, jitter, and other distortions to a digital signal. Decoding processes, apparatuses, and systems are provided that utilize a decoding framework for improving the accuracy of output bit streams generated from digital signals. An example process receives data indicative of a digital signal, generates a signal measurement for the digital signal that includes signal length descriptive between a two rising edges of a digital signal or two falling edges of the demodulated digital signal, and generates at least one portion of an output bit stream for the digital signal based at least in part on the signal measurement.