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Low-Power Sensor Interface with a Switched Inductor Frequency Selective Envelope Detector.
Marko Gazivoda1, Vedran Bilas1
1Faculty of Electrical Engineering and Computing, University of Zagreb, 10000 Zagreb, Croatia.
This study introduces a novel, low-power acoustic sensor interface for the Internet of Things (IoT). The developed switched inductor circuit offers efficient signal detection with minimal power consumption, crucial for continuous environmental monitoring.
Area of Science:
- Electrical Engineering
- Sensor Technology
- Acoustic Signal Processing
Background:
- The Internet of Things (IoT) requires low-power sensors for continuous monitoring.
- Advancements in sensor manufacturing necessitate efficient interface designs.
- Acoustic sensing is vital for environmental understanding and event detection.
Purpose of the Study:
- To present a novel switched inductor-based acoustic sensor interface.
- To analyze the sensitivity, frequency selectivity, and power consumption of the interface.
- To compare the prototype's performance against existing interface designs.
Main Methods:
- Design and development of a switched inductor-based acoustic sensor interface with a bandpass filter and envelope detector.
- Experimental characterization of the prototype's sensitivity, frequency selectivity, and power consumption.
- Comparative analysis using a prerecorded speedboat signal against an active filter and passive voltage doubler interface.
Main Results:
- The prototype achieved a sensitivity of approximately 2 mV/mV in the passband and significantly lower sensitivity in the stopband.
- Power consumption was measured at approximately 3.31 µW, demonstrating low-power operation.
- The novel interface showed comparable or improved performance against the traditional interface.
Conclusions:
- The developed switched inductor acoustic sensor interface is a viable low-power solution for IoT applications.
- The circuit design parameters effectively influence its performance characteristics.
- This technology enables efficient acoustic event detection for enhanced environmental monitoring.
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