Air Traffic Management Decision Support Systems and Field Data Collection Techniques
Dr. Hayley Reynolds, Dr. Tom Reynolds
Mon Jan 25 thru Fri Jan 29, 09am-03:00pm, 36-155
Enrollment limited: advance sign up required (see contact below)
Signup by: 18-Jan-2010
Limited to 20 participants.
Participants requested to attend all sessions (non-series)
Prereq: None
Participants gain a basic understanding of air traffic control and the practical issues in designing and evaluating decision support tools for this domain. Taught by AeroAstro and Lincoln Laboratory staff, topics include an introduction to air traffic control, field data collection techniques, and field data consolidation. The classroom portion occurs on Monday, Tuesday, and Friday. Wednesday or Thursday is spent at Boston Air Route Traffic Control Center (ARTCC) and/or Boston Terminal Radar Approach Control (TRACON) air traffic facilities performing field observations. The workshop provides initial training for students wishing to pursue UROPs or graduate work in the area of ATC field evaluations in conjunction with Lincoln Laboratory in the summer of 2010. No prior air traffic control knowledge is required.
Contact: Dr. Hayley Reynolds, (781) 981-3309, hayley@ll.mit.edu
Cosponsor: Aeronautics and Astronautics
|
Technical Seminar: Detection, Estimation and Beamforming for Adaptive Sensor Arrays: Algorithms and Performance
Dr. Christ Richmond
Wed Jan 27, 02-03:00pm, Stata, 32-G449
No enrollment limit, no advance sign up
Single session event
A class of adaptive detection and estimation algorithms has emerged over the past 30 years that exploits the spatial and temporal diversity available from sensor array systems in order to provide robust signal detection and parameter estimation under rather adverse/nonideal conditions. These algorithms rely heavily upon the data sample covariance matrix for interference rejection. An overview is presented of analyses embracing practicalities such as finite sample support, signal array response mismatch, nonstationarity and nonlinear parameter estimation, all quintessential for radar/sonar/communication systems design requiring precision and robustness. The adaptive matched filter, coherence estimator, generalized likelihood ratio test, 2-D sidelobe blanker detectors, and maximum-likelihood estimation are considered
Contact: Gary A. Hackett, S2-127A, 181-7056, hackett@ll.mit.edu
Cosponsor: Electrical Engineering and Computer Science
|
|
