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
Sponsor: Lincoln Laboratory
Cosponsor: Electrical Engineering and Computer Science
Latest update: 22-Jan-2010
|
|
