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Related Experiment Video

Updated: May 11, 2026

Design and Analysis for Fall Detection System Simplification
08:05

Design and Analysis for Fall Detection System Simplification

Published on: April 6, 2020

A passive wireless multi-sensor SAW technology device and system perspectives.

Donald C Malocha1, Mark Gallagher, Brian Fisher

  • 1Electrical Engineering & Computer Science Department, University of Central Florida, Orlando, FL 32816, USA. Donald.malocha@ucf.edu

Sensors (Basel, Switzerland)
|May 14, 2013
PubMed
Summary
This summary is machine-generated.

This study presents a novel orthogonal frequency coded (OFC) Surface Acoustic Wave (SAW) multi-sensor system. The wireless, passive device utilizes advanced signal processing for reliable sensor data extraction and flexible applications.

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Last Updated: May 11, 2026

Design and Analysis for Fall Detection System Simplification
08:05

Design and Analysis for Fall Detection System Simplification

Published on: April 6, 2020

Area of Science:

  • Electrical Engineering
  • Materials Science
  • Sensor Technology

Background:

  • Development of passive, wireless sensing systems is crucial for remote monitoring.
  • Surface Acoustic Wave (SAW) devices offer unique properties for sensor applications.
  • Existing SAW sensor systems may have limitations in ID encoding and data extraction.

Purpose of the Study:

  • To develop and characterize a novel orthogonal frequency coded (OFC) SAW multi-sensor system.
  • To demonstrate the effectiveness of frequency diversity and pulse position reflectors for sensor identification.
  • To present the hardware and signal processing techniques for extracting sensor information.

Main Methods:

  • Design and implementation of an OFC SAW multi-sensor system operating at 915 MHz.
  • Utilizing a synchronous correlator transceiver for signal acquisition.
  • Employing correlation techniques for post-processing and sensor data extraction.
  • Investigating critical parameters including encoding, operational range, and antenna-SAW integration.

Main Results:

  • Successful demonstration of a 915 MHz OFC SAW multi-sensor system.
  • Experimental validation of the encoding and signal processing techniques.
  • Showcasing diverse sensor types integrated onto the OFC SAW platform.
  • Achieved reliable sensor information extraction through correlation.

Conclusions:

  • The developed OFC SAW multi-sensor system provides a flexible and robust platform for wireless sensing.
  • The software radio approach enables future enhancements and diverse sensor applications.
  • OFC SAW technology offers a promising solution for passive, wireless multi-sensor networks.