R. Michael Buehrer

Welcome



  • Hello and welcome to the official website of R. Michael Buehrer's research group.

    This website serves as the information gateway to the latest and greatest research being performed by his M.Sc. and Ph.D. students in the Mobile and Portable Radio Research Group (MPRG) within the Wireless@VT umbrella.

    Please feel free to browse around at your leisure. Should you desire to contact Dr. Buehrer, please find his contact information here.

    Lastly, we appreciate you stopping by - thank you for your interest!

  • News

    DARPA Spectrum Challenge

    On September 11-12, 2013, VT CogRad represented the Wireless@VT research group in the DARPA Spectrum Challenge's Preliminary Tournament. Along with 17 other teams, VT CogRad designed a software-defined radio to compete in the competitive and cooperative tournaments. VT CogRad team including SaiDhiraj Amuru, Daniel Jakubisin, Jeffrey Poston, and R. Michael Buehrer placed fourth in the competitive challenge. In the competitive match VT CogRad's design successfully created interference to the opposing team while rapidly transmitting packets of its own which allowed the team to win four rounds before being eliminated by the eventual second place team. VT CogRad successfully qualified for the tournament in April by passing the Hurdles with a 11th place score. Teams now have the opportunity to improve their strategy before competing in the DARPA Spectrum Challenge's Final Tournament which will be held in March 2014. In the Final Tournament, the DARPA Spectrum Challenge plans to award $50,000 to the winners of the competitive and cooperative matches. Full Preliminary Tournament results are available here.

    Jake Successfully Defended His Master's Thesis

    Abstract: The Cross Ambiguity Function (CAF) is often used for passive geolocation of an emitter based on the time difference of arrival (TDOA) and frequency difference of arrival (FDOA) of the received signals. CAF performance has been thoroughly investigated in regards to traditional single-input single-output (SISO) signals. Little is known about how the CAF will respond to signals from multiple-input multiple-output (MIMO) systems which utilize multiple antennas. This thesis focuses on characterizing the CAF's magnitude distribution in order to determine the probability of correctly determining the correct TDOA/FDOA bin, and the resulting impact on geolocation. The received signals are studied in the presence of additive white Gaussian noise (AWGN) as well as multi-channel propagation effects such as phase ambiguities and offsets due to multi-antenna transmission.
    Two and four transmit antennas using either a form of spatial multiplexing or space-time block coding are the focus of this work because they are mostly commonly found in currently deployed communication systems. The effects of these transmit schemes are studied with respect to TDOA/FDOA error and the resulting position error. The analysis is performed using a detection theory framework as opposed to estimation theory in order to emphasize the impact of MIMO transmission on determining the correct TDOA/FDOA bin. A simple method using the CAF magnitude as a decision statistic is also presented so that TDOA/FDOA errors can be detected and altered in an attempt to improve positioning estimates.

    Zack Successfully Defended His Master's Thesis

    Abstract: The localization of wireless devices, i.e. mobile phones, laptops, and handheld GPS receivers, has gained much interest due to the benefits it provides, including quicker emergency personnel dispatch, location-aided routing, as well as commercial revenue opportunities through location based services. GPS is the dominant position location system in operation, with 31 operational satellites producing eight line of sight satellites available to users at all times making it very favorable for system implementation in all wireless networks. Unfortunately when a GPS receiver is in a challenging environment, such as an urban or indoor scenario, the signal quality often degrades causing poor accuracy in the position estimate or failure to localize altogether due to satellite availability.
    Our goal is to introduce a new solution that has the ability to overcome this limitation by improving the accuracy and availability of a GPS receiver when in a challenging environment. To test this theory we created a simulated GPS receiver using a MATLAB simulation to mimic a standard GPS receiver with all 31 operational satellites. Here we are able to alter the environment of the user and examine the errors that occur due to noise and limited satellite availability. Then we introduce additional user(s) to the GPS solution with the knowledge (or estimate) of the distances between the users. The new solutions use inter-receiver distances along with pseudoranges to cooperatively determine all receiver locations simultaneously, resulting in improvement in both the accuracy of the position estimate and availability.

    The 1st Contest on Localization Algorithms

    Our research team including Reza Monir Vaghefi, Javier Schloemann, and R. Michael Buehrer won the 1st Contest on Localization Algorithms in Dresden on 19th of March. The contest was hosted by the 10th Workshop on Positioning, Navigation and Communication 2013 (WPNC'13) in Dresden, Germany, March 20-21, 2013 in cooperation with BUTLER FP7 EU project. The participants compared their localization algorithms based on given distance datasets and evaluation metrics.

    DARPA Spectrum Challenge

    SaiDhiraj Amuru, Daniel Jakubisin, Jeffrey Poston, and R. Michael Buehrer, the members of the team VT CogRad, were qualified for the DARPA Spectrum Challenge tournaments. 90 teams registered as Challenge entrants, with participants from around the world. However, only 15 teams were selected as contestants for the Challenge tournaments where VT CogRad ranked 11th. The DARPA Spectrum Challenge is a competition to demonstrate a radio protocol that can best use a given communication channel in the presence of other dynamic users and interfering signals.