Honors Theses
Date of Award
2016
Document Type
Undergraduate Thesis
Department
Electrical Engineering
First Advisor
Matthew Morrison
Relational Format
Dissertation/Thesis
Abstract
In this work, a portable low cost sensor system is designed for the extraction of walking signatures in humans using the principle of Ultrasonic Doppler Sonar (UDS). UDS involves the use of two ultrasonic transducers acting as a transmitter-receiver pair. The transmitter produces a continuous ultrasonic signal at a specific frequency to be broadcasted onto a moving target, while the receiver will perform a frequency shift on the reflected signal in relation to the movement of the target. The sensor system used in this work is comprised of a frequency generator that drives the transducer with a 40 kHz sine wave and a data acquisition device. Signal processing methods were implemented on the received data to extract and analyze the Doppler features of a human walk. Data was initially collected using a function generator which produced the transmitted 40 kHz signal together with Measurement Computing WaveBook-516E data acquisition measurement hardware. To make the system portable, the design was simplified using the National Instruments USB-6216 Data Acquisition (DAQ) for both the transmitted signal and saving the received sampled data. The WaveView data acquisition software was used to control the WaveBook DAQ while a LabView program was written to interface with the NI USB-6216 hardware. The primary objective of implementing the sensor system is to automate the data collection without the use of a computer, which the use of NI data acquisition made possible, but the system parts were expensive and needed the use of a laptop to manage the process. A microprocessor, together with an Analog to Digital Converter (ADC) and a Digital to Analog Converter (DAC), were tested for generating the driving transmitting signal and the collection of the data. The TI C6748 digital signal processors on the Texas Instruments OMAP-L138 Development Kit was the chosen processor as it is a floating-/fixed-point DSP with up to 456 MHz clock speed, the access to standard interfaces on the development kit, and the availability of software development kits, drivers, and algorithm libraries for fast development.
Recommended Citation
Komma, Demba B., "Ultrasonic Doppler Sonar Sensor System for Extraction of Walk Signatures" (2016). Honors Theses. 264.
https://egrove.olemiss.edu/hon_thesis/264
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