Skip to Main Content
 

Global Search Box

 
 
 

ETD Abstract Container

Abstract Header

Networked Sensing with Software Defined Radios and Sparse Apertures

Althoff, James Patrick
http://rave.ohiolink.edu/etdc/view?acc_num=dayton1575118839422548

Abstract Details

2019, Master of Science (M.S.), University of Dayton, Electrical and Computer Engineering.
Software Defined Radios (SDRs) have grown in popularity for both military as well as commercial applications. Specifically, the flexibility of using these devices in networked sensor environment is becoming ever more apparent especially in comparison to traditional radios. These networked sensor environments implemented through the use of SDRs are much more flexible in both applications as well as offer a significant cost benefit. SDRs are used to create a (Multiple-Input-Multiple-Output) MIMO antenna array used for beam-forming multiple sparsely distributed antennas. In order to create this beamforming capability, a calibration process is defined that allows multiple antennas the cohere their beams onto a singular location is space. Through the calibration process a networked environment was created to support the calibration process as well as define a client-server relationship between the end user and the system itself. Results indicate that beamforming is possible using SDRs and can produce results similar to a simulated environment.
Michael Wicks (Committee Chair)
Robert Penno (Committee Chair)
Guru Subramanyam (Committee Chair)
63 p.
Computer Engineering; Electrical Engineering
Beamforming, Radar, Software Defined Radio

Recommended Citations

Citations

  • Althoff, J. P. (2019). Networked Sensing with Software Defined Radios and Sparse Apertures [Master's thesis, University of Dayton]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1575118839422548

    APA Style (7th edition)

  • Althoff, James. Networked Sensing with Software Defined Radios and Sparse Apertures. 2019. University of Dayton, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=dayton1575118839422548.

    MLA Style (8th edition)

  • Althoff, James. "Networked Sensing with Software Defined Radios and Sparse Apertures." Master's thesis, University of Dayton, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1575118839422548

    Chicago Manual of Style (17th edition)

dayton1575118839422548
91
© 2019, all rights reserved.
This open access ETD is published by University of Dayton and OhioLINK.