Master of Science Thesis Defense by: Ferdousi Sabera Rawnaque
When: Monday,
August 14, 2017
2:00 PM
-
4:00 PM
Where: Science & Engineering Building, Lester W. Cory Conference Room: Room 213A
Cost: Free
Description: Topic: Comparing the Effect of Aperture Extension on the Peak Sidelobe Level of Sparse Arrays
Location: Lester W. Cory Conference Room, Science & Engineering Building (SENG), Room 213A
Abstract:
This thesis compares the Peak Sidelobe Levels (PSLs) of the beampatterns of filled and sparse arrays as a function of aperture both with numerical simulations and experimental data. Four array geometries are compared. A Uniform Linear Array (ULA) evenly spaces sensor elements to achieve low PSLs. Minimum Redundancy Arrays (MRAs) and Minimum Hole Arrays (MHAs) span the equivalent aperture of a ULA with fewer sensors. Another category of sparse arrays, Co-prime Sensor Arrays (CSAs) interleave a pair of ULAs undersampled by co-prime factors. CSA measurements can be processed by either conventional delay-and-sum processing or product processing of the subarrays. This work finds that the PSLs of MRAs, MHAs and the conventionally processed CSAs are much higher than the ULA PSL and nearly insensitive to aperture extension. In contrast, CSA product processing decreases the PSL with increasing aperture, eventually matching the PSL of a ULA. The PSLs measured from experimental data support the theoretical findings.
Note: All ECE Graduate Students are ENCOURAGED to attend.
All interested parties are invited to attend. Open to the public.
Advisor: Dr. John R. Buck
Committee Members: Dr. Dayalan P. Kasilingam and Dr. Karen L. Payton, Department of Electrical & Computer Engineering
*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 (SENG), Room 213A
Abstract:
This thesis compares the Peak Sidelobe Levels (PSLs) of the beampatterns of filled and sparse arrays as a function of aperture both with numerical simulations and experimental data. Four array geometries are compared. A Uniform Linear Array (ULA) evenly spaces sensor elements to achieve low PSLs. Minimum Redundancy Arrays (MRAs) and Minimum Hole Arrays (MHAs) span the equivalent aperture of a ULA with fewer sensors. Another category of sparse arrays, Co-prime Sensor Arrays (CSAs) interleave a pair of ULAs undersampled by co-prime factors. CSA measurements can be processed by either conventional delay-and-sum processing or product processing of the subarrays. This work finds that the PSLs of MRAs, MHAs and the conventionally processed CSAs are much higher than the ULA PSL and nearly insensitive to aperture extension. In contrast, CSA product processing decreases the PSL with increasing aperture, eventually matching the PSL of a ULA. The PSLs measured from experimental data support the theoretical findings.
Note: All ECE Graduate Students are ENCOURAGED to attend.
All interested parties are invited to attend. Open to the public.
Advisor: Dr. John R. Buck
Committee Members: Dr. Dayalan P. Kasilingam and Dr. Karen L. Payton, Department of Electrical & Computer Engineering
*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