Adaptive Sensor Signal Sampling for Low-Power Reconstruction
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Solution Overview
Problem
The challenge lies in efficiently processing continuous sensor signals while minimizing current consumption, especially in applications where sensors are operated in duty-cycle mode, as the sampling frequency often needs to be higher than required to ensure signal reconstruction, leading to excessive energy usage.
Innovation Solution
A method and system that dynamically adapt the sampling frequency based on the spectral signal properties over time, allowing for reduced current consumption without compromising signal quality. This involves analyzing the spectral properties, adjusting the sampling frequency, and allocating time information to sampled values to ensure accurate reconstruction according to the Nyquist theorem.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If the sensor is operated in duty-cycle mode with fixed sampling frequency, then current consumption is reduced, but signal reconstruction accuracy deteriorates when signal frequency changes
Solution Approach 1:
The patent applies dynamics by making the sampling frequency variable rather than fixed. The sampling frequency is dynamically adapted based on the spectral properties of the sensor signal, allowing the system to optimize between energy consumption and signal accuracy in real-time. When the signal contains higher frequency components, the sampling frequency increases to maintain reconstruction accuracy; when the signal is slower varying, the sampling frequency decreases to save energy.
Solution Approach 2:
The patent changes the parameter of sampling frequency based on the spectral characteristics of the sensor signal. By analyzing the signal spectrum and adapting the sampling frequency accordingly, the system ensures that the Nyquist criterion is met only when necessary, rather than maintaining a constantly high sampling rate. This parameter adaptation resolves the contradiction by making sampling frequency a variable that responds to signal conditions.
2Measurement precision
If the sampling frequency is increased to ensure signal reconstruction, then measurement precision is improved, but current consumption increases
Solution Approach 1:
The system dynamically adjusts the sampling frequency based on the actual spectral content of the sensor signal. Instead of using a fixed high sampling frequency that guarantees reconstruction but wastes energy, the system monitors signal characteristics and adapts the sampling rate in real-time, using higher rates only when the signal requires them for accurate reconstruction.
Solution Approach 2:
The patent implements feedback by continuously analyzing the spectral properties of the sensor signal and using this information to adjust the sampling frequency. The system monitors the signal characteristics, compares them against reconstruction requirements, and feedback-controls the sampling rate to maintain accuracy while minimizing energy consumption. This closed-loop approach ensures optimal balance between precision and power usage.
Data Source
AI summary
A method for processing continuous sensor signals of a sensor in which a sensor signal is sampled at a sampling frequency and a series of sampled values able to be classified in terms of time is generated in this way, the sampling frequency is dynamically adapted to the spectral signal properties of the sensor signal variable over time and an item of time information is allocated to the thereby generated sampled values, which allows an allocation of the sampled values in terms of time.