Pulse Signal Demodulation Using Dynamic Threshold Tracking
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Solution Overview
Problem
Existing methods for analyzing pulse modulated signals, such as PWM and PDM, face challenges due to floating upper and lower levels, leading to information loss as static thresholds cannot accurately distinguish these levels, resulting in incomplete decoding.
Innovation Solution
A method that determines a dynamic threshold level based on the period and actual values of the pulse modulated signal, using filters and decimation intervals to adapt the threshold in real-time, ensuring accurate demodulation even for non-static signals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a static threshold level is used for demodulating the pulse modulated signal, then the analysis method is simple, but information is lost when the signal levels are floating
Solution Approach 1:
The patent applies the dynamics principle by transforming the static threshold level into a dynamic threshold level that automatically adapts to the pulse modulated signal characteristics. The threshold is calculated based on the signal period and continuously updated to track the floating levels, ensuring accurate demodulation without information loss while maintaining computational efficiency through periodic updates rather than continuous recalculation.
2Measurement precision
If a dynamic threshold level is determined based on period and signal values, then accurate demodulation of floating signals is achieved, but computational efforts increase
Solution Approach 1:
The patent implements periodic action by calculating the dynamic threshold level at specific intervals based on the signal period rather than continuously. The threshold is updated periodically using the determined period of the pulse modulated signal, which reduces computational energy while maintaining accurate tracking of floating levels. This periodic update strategy balances precision requirements with energy efficiency.
Solution Approach 2:
The patent applies preliminary action by first determining the period of the pulse modulated signal before calculating the dynamic threshold level. This preliminary period determination enables more efficient threshold calculations by providing a reference timeframe, reducing the overall computational effort required for accurate demodulation of floating signals.
3Reliability
If the threshold level is continuously adapted to the signal, then decoding accuracy improves, but the analysis complexity increases
Solution Approach 1:
The patent implements feedback by continuously monitoring the pulse modulated signal characteristics and using this information to adjust the dynamic threshold level. The threshold calculation incorporates feedback from the signal period and current signal values, ensuring accurate tracking of floating levels while maintaining a systematic and manageable analysis complexity through structured feedback loops.
Data Source
AI summary
The present disclosure relates to a method of analyzing a pulse modulated signal, wherein the method comprises: receiving a pulse modulated signal; determining a dynamic threshold level based on a period of the pulse modulated signal and the pulse modulated signal; and demodulating the pulse modulated signal by the dynamic threshold level. Moreover, a signal analysis instrument for analyzing a pulse modulated signal is described.