Synthetic Aperture Sonar (SAS) systems use acoustics to probe and form images of the ocean sea bed. One important use of such systems is detecting objects buried or embedded in the sea-bed. Examples include mines and debris. The student would be expected to develop and implement adaptive processing algorithms, that account for the interference seen in real time, to detect small objects – smaller than is currently possible to reliably detect.
The deliverable would be the algorithm, the computer program (preferably written in MATLAB) and a report.
As much as possible without jeopardizing ‘regular’ courses
EE students. Taking/having taken ECE302 a must. Knowledge of DSP preferred.
Applications for 2018-2019 is now open! Pleae apply through the link below and send your transcript as a PDF to firstname.lastname@example.org
(Please attach your complete transcript from ACORN as a PDF file with filename: REX2018_FISTNAME_LASTNAME).
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