ECE ORAL COMPREHENSIVE EXAM FOR DOCTORAL CANDIDACY BY: Ian Max Rooney
When: Friday,
June 3, 2016
10:00 AM
-
12:00 PM
Where: Science & Engineering Building, Lester W. Cory Conference Room: Room 213A
Cost: free
Description: TOPIC: APPLICATION OF MULTITAPER TO CO-PRIME SENSING ARRAYS
LOCATION: Lester W. Cory Conference Room, Science & Engineering Building (Group II), Room 213A
ABSTRACT:
Abstract: Co-prime sensing is a sparse spatial sampling technique for estimating spatial power spectral densities (PSD) by combining interleaved under-sampled sub-arrays. Co-prime sensing arrays match the resolution of a fully populated and uniformly sampled array and save at least 33% of the sensors. However, co-prime PSD estimates have a larger variance than a fully-populated uniform line array with equal aperture. PSD estimates evaluated with Thomson's multitaper method have a smaller variance than those determined by periodogram. The variance reduction is accomplished by averaging statistically uncorrelated estimates from the same sample data. Orthogonal tapers (specifically, the Slepian sequences) form the uncorrelated estimates at the expense of resolution. Co-prime sensing and multitaper have a natural affinity, but no prior work exploits both techniques. This research introduces an algorithm that combines both the variance reduction of multitaper and the sensor savings of the co-prime sensing array to form a spatial PSD estimator with both advantages.
NOTE: All ECE Graduate Students are ENCOURAGED to attend.
All interested parties are invited to attend. Open to the public.
Advicor: Dr. John R. Buck
Committee Members: Dr. Dayalan Kasilingam and Dr. Paul J. Gendron, Department of Electrical & Computer Engineering; Dr. Kathleen E. Wage, Department of Electrical & Computer Engineering, George Mason University
*For further information, please contact Dr. John R. Buck at 508.999.9237, or via email at jbuck@umassd.edu.
LOCATION: Lester W. Cory Conference Room, Science & Engineering Building (Group II), Room 213A
ABSTRACT:
Abstract: Co-prime sensing is a sparse spatial sampling technique for estimating spatial power spectral densities (PSD) by combining interleaved under-sampled sub-arrays. Co-prime sensing arrays match the resolution of a fully populated and uniformly sampled array and save at least 33% of the sensors. However, co-prime PSD estimates have a larger variance than a fully-populated uniform line array with equal aperture. PSD estimates evaluated with Thomson's multitaper method have a smaller variance than those determined by periodogram. The variance reduction is accomplished by averaging statistically uncorrelated estimates from the same sample data. Orthogonal tapers (specifically, the Slepian sequences) form the uncorrelated estimates at the expense of resolution. Co-prime sensing and multitaper have a natural affinity, but no prior work exploits both techniques. This research introduces an algorithm that combines both the variance reduction of multitaper and the sensor savings of the co-prime sensing array to form a spatial PSD estimator with both advantages.
NOTE: All ECE Graduate Students are ENCOURAGED to attend.
All interested parties are invited to attend. Open to the public.
Advicor: Dr. John R. Buck
Committee Members: Dr. Dayalan Kasilingam and Dr. Paul J. Gendron, Department of Electrical & Computer Engineering; Dr. Kathleen E. Wage, Department of Electrical & Computer Engineering, George Mason University
*For further information, please contact Dr. John R. Buck at 508.999.9237, or via email at jbuck@umassd.edu.
Contact:
ECE: Electrical & Computer Engineering Department 508.999.9164 http://www.umassd.edu/engineering/ece/
Topical Areas: General Public, University Community, College of Engineering, Electrical and Computer Engineering