Prospective Students

As a signal processing group, our research applies to a vast range of applications from cellphones to autonomous vehicles. However, information extraction techniques are enhanced by incorporating knowledge of the particular problem. Much our work involves radar and sonar where the physical phenomenology is well understood but still remains problematic for target detection and tracking. However, the skills and tools used to solve these problems are broadly applicable.

Interested in these topics?

Multichannel

Multiple sensors working together offer much more information than a single sensor. Cellphones and headphones use additional microphones to cancel noise from the environment. We design algorithms that exploit data captured by sensors at multiple locations.

Statistics

Uncertainty or randomness of data is quantified through statistics. This allows automatic ways to find signals hidden underneath noise like tracking people through walls using our indoor radar or separating the speech of several people talking in a room.

Waves

Electromagnetic and acoustic waves propagate in predictable ways. This phenomenology can be exploited to extract information about the sources, such as location, or about the environment, such as reflecting structures.


Relevant applications of our work

Multipath Radar

Radar systems in urban environments have complex multipath due to buildings and other structures. Indoor radar systems also experience this on a smaller scale where the goal is through-the-wall sensing.

Multipath Sonar

Passive and active sonar systems are used for situational awareness in the ocean. Applications include underwater localization, maneverable underwater unmanned vehicles, and source waveform development.

Cellphones

Cellphones are often used in noisy environments such as airports and malls. Noise cancellation techniques exploit the differences between the talker and noise in order to improve voice quality. Radios in cellphones also must deal with multipath.

Robotics

Unmanned sensing platforms have to be aware of the surrounding environment. Data from multiple sensors are combined to provide better understanding of their relative location to other objects.

If you're interested in joining us, please apply here to the ECE Ph.D. graduate program and reference our projects in your application. Summer internship opportunities for graduate students in our group also exist at partnering laboratories such as the Naval Research Laboratory, MIT Lincoln Laboratory, and the NATO Centre for Maritime Research & Experimentation. Applicants with U.S. citizenship or permanent residency status are preferred.