Dr. Bradley Perry
Enrollment: Limited: Advance sign-up required
Sign-up by 01/10
Limited to 24 participants
Attendance: Participants must attend all sessions
Prereq: SEE IMPORTANT MESSAGE BELOW
Are you interested in building and testing your own phased array radar system? MIT Lincoln Laboratory is offering a unique course in the design, fabrication, and test of a laptop-based phased array radar sensor capable of imaging moving targets in real-time, like a ‘radar video camera’. This course will appeal to anyone interested in the following: electronics, amateur radio, physics, electromagnetics, or phased array systems. Teams of three will make a phased array radar system and attend four sessions spanning topics from fundamentals of radar to digital beamforming. You will bring your radar into the field and perform imaging of moving targets around campus. Imaging unusual targets is encouraged; a final radar video competition will determine the most creative radar imagery.
*This work is sponsored by the Department of the Air Force under Air Force Contract #FA8721-05-C-0002. Opinions, interpretations, conclusions and recommendations are those of the authors and are not necessarily endorsed by the United States Government.
Sponsor(s): Lincoln Laboratory, Electrical Engineering and Computer Science
Contact: Dr. Bradley Perry, LIN-S2-227, (781) 981-0861, radar.course@ll.mit.edu
Jan/15 | Wed | 10:00AM-12:00PM | 4-163, SEE BELOW |
Jan/16 | Thu | 10:00AM-12:00PM | 4-163, SEE BELOW |
Jan/21 | Tue | 02:30PM-05:00PM | 300 Tech. Sq. 2nd FL, SEE BELOW |
Jan/22 | Wed | 02:30PM-05:00PM | 300 Tech. Sq. 2nd FL, SEE BELOW |
Jan/23 | Thu | 02:30PM-05:00PM | 300 Tech. Sq. 2nd FL, SEE BELOW |
Jan/27 | Mon | 12:00PM-05:00PM | 3-133, SEE BELOW |
IMPORTANT:
Sessions 1/21, 1/22, 1/23 will be held at Beaver Works @ 300 Technology Square, 2nd Floor
Laptop computer running Windows, Mac OS, or Linux. Other versions of Unix should work but have not been tested. At least one available USB port. Matlab 2009b or later (The Instrumentation Control Toolbox for Matlab is strongly encouraged)