Master of Science Thesis Defense: Kari E. Cannon
When: Thursday,
July 20, 2017
10:00 AM
-
12:00 PM
Where: Science & Engineering Building, Lester W. Cory Conference Room: Room 213A
Cost: Free
Description: Topic: Characterization of A Distributed Netted Sensor System for Magnetic Anomaly Detection
Location: Lester W. Cory Conference Room, Science & Engineering Building (SENG), Room 213A
Abstract:
This thesis explores magnetic anomaly detection schemes for two dimensional fixed arrays of magnetic sensors employed for discerning the presence of mobile objects. Large ferrous items generate a magnetic dipole, which causes an anomaly within the Earth's magnetic field. The large number of sensor signals can be combined in order to improve their ability to detect. Included here is a presentation of signal processing schemes for combining such measurements for the purpose of drawing inferences about the presence of a magnetic dipole. The Neyman-Pearson lemma is used to construct a detector for the presence of a mobile dipole as a likelihood ratio test under a constant false alarm rate criteria. Receiver operating characteristic curves summarize the performance of the detector system. Presented is a framework for illuminating the impact of the number of sensors comprising the system, the spacing between adjacent sensors and the noise power present within the environment.
Note: All ECE Graduate Students are ENCOURAGED to attend.
All interested parties are invited to attend. Open to the public.
Advisor: Dr. Paul J. Gendron
Committee Members: Dr. Dayalan P. Kasilingam, Department of Electrical & Computer Engineering and Dr. David Kagan, Department of Physics
*For further information, please contact Dr. Paul J. Gendron at 508.999.8510, or via email at pgendron@umassd.edu.
Location: Lester W. Cory Conference Room, Science & Engineering Building (SENG), Room 213A
Abstract:
This thesis explores magnetic anomaly detection schemes for two dimensional fixed arrays of magnetic sensors employed for discerning the presence of mobile objects. Large ferrous items generate a magnetic dipole, which causes an anomaly within the Earth's magnetic field. The large number of sensor signals can be combined in order to improve their ability to detect. Included here is a presentation of signal processing schemes for combining such measurements for the purpose of drawing inferences about the presence of a magnetic dipole. The Neyman-Pearson lemma is used to construct a detector for the presence of a mobile dipole as a likelihood ratio test under a constant false alarm rate criteria. Receiver operating characteristic curves summarize the performance of the detector system. Presented is a framework for illuminating the impact of the number of sensors comprising the system, the spacing between adjacent sensors and the noise power present within the environment.
Note: All ECE Graduate Students are ENCOURAGED to attend.
All interested parties are invited to attend. Open to the public.
Advisor: Dr. Paul J. Gendron
Committee Members: Dr. Dayalan P. Kasilingam, Department of Electrical & Computer Engineering and Dr. David Kagan, Department of Physics
*For further information, please contact Dr. Paul J. Gendron at 508.999.8510, or via email at pgendron@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