FMCW Radar Ranging Device

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FMCW Radar Ranging Device

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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

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