| dc.contributor | Tran, Thang | |
| dc.contributor | Quillen, Jason | |
| dc.contributor | Hong, Lang | |
| dc.contributor.author | Bayraktaroglu, Adrian | |
| dc.coverage.temporal | 2010 | en_US |
| dc.date.accessioned | 2011-06-16T16:04:49Z | |
| dc.date.available | 2011-06-16T16:04:49Z | |
| dc.date.created | 2010-04 | |
| dc.date.issued | 2010-04 | |
| dc.identifier.other | celebration_abstract10_bayraktaroglu_a | |
| dc.identifier.uri | http://hdl.handle.net/2374.WSU/4742 | |
| dc.description.abstract | Research and develop a low-cost range and velocity measuring device using Frequency Modulated Continuous Wave (FMCW) radar, utilizing the potential of the affordable IVS-162 transceiver. The IVS-162 transceiver is capable of detecting objects in the approximate range of 3 -25 meters. Through our engineering we will present that it is possible to achieve high resolution within a 10 meter range using the IVS-162. Data acquisition was captured utilizing a variety of stationary and moving targets at differing ranges and velocities. In order to process the return signal data more effectively and to create a higher resolution, a Butterworth band-pass filter was designed to create a more desirable signal to noise ratio while simultaneously providing signal amplification. Signal to noise ratio optimization was accomplished by interfacing the transceiver with a 6th order active high-pass filter cascaded with a 2nd order active low-pass filter with cut-off frequencies located at 7.5kHz and 40kHz respectively, providing approximately 17dB of amplification. Additionally, a high accuracy low noise triangular waveform generator was developed with a pulse repetition frequency of 750Hz, a DC offset of 2 volts, and a 4 volt peak-to-peak swing. Furthermore, with the design specifications of the triangular waveform and Butterworth filter realized we were able to accurately determine both the range and velocity of targets within a 6-17 meter range. Signal processing was accomplished offline by sampling our data with an analog to digital converter (ADC), with a sampling frequency of 150 kHz, then importing the raw data to MATLAB. Fast Fourier Transform (FFT) algorithms were designed to capture the data from the rising and falling edges of the filtered triangular waveform to accurately determine both the range and velocity of multiple objects. This presentation occurred at the Wright State University Campus-Wide Celebration of Research, Scholarship and Creative Activities on April 16, 2010 |
|
| dc.language.iso | en_US | en_US |
| dc.publisher | Wright State University | en_US |
| dc.relation.ispartof | Celebration of Research, Scholarship, and Creative Activities | en_US |
| dc.rights.uri | http://www.wright.edu/web/copyright.html | |
| dc.subject | Bayraktaroglu, Adrian | en_US |
| dc.subject | Tran, Thang | en_US |
| dc.subject | Quillen, Jason | en_US |
| dc.subject | Hong, Lang | en_US |
| dc.subject | Wright State University. Department of Electrical Engineering | en_US |
| dc.title | FMCW Radar Ranging Device | en_US |
| dc.type | Presentation | en_US |
| dc.permissions | World | |
| dc.publisher.digital | Digital Services Department, Wright State University Libraries | en_US |
| dc.date.digitized | 2010-04 | |
| dc.publisher.OLinstitution | Wright State University |
| Files | Size | Format | View |
|---|---|---|---|
| celebration_abstract10_bayraktaroglu_a.pdf | 87.45Kb | application/pdf |
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