Sonar Signal Processing
$1990 per person
This intensive short course provides an overview of sonar signal processing. Processing techniques applicable to bottom-mounted, hull-mounted, towed and sonobuoy systems will be discussed. Spectrum analysis, detection, classification, and tracking algorithms for passive and active systems will be examined and related to design factors. Advanced techniques such as high-resolution array-processing and matched field array processing, advanced signal processing techniques, and sonar automation will be covered. The course is valuable for engineers and scientists engaged in the design, testing, or evaluation of sonars. Physical insight and realistic performance expectations will be stressed. A comprehensive set of notes will be supplied to all attendees.
James W. Jenkins joined the Johns Hopkins University Applied Physics Laboratory in 1970 and has worked in ASW and sonar systems analysis. He has worked with system studies and at-sea testing with passive and active systems. He is currently a senior physicist investigating improved signal processing systems, APB, own-ship monitoring, and SSBN sonar. He has taught sonar and continuing education courses since 1977 and is the Director of the Applied Technology Institute (ATI).
Dr. Bruce Newhall has over 40 years experience in underwater acoustics, sonar, and signal processing. He was chief scientist for several large scale Navy experiments and the supervisor of the Acoustic and Electromagnetics Group at the Johns Hopkins Applied Physics Lab. He has served as Associate Editor for the IEEE Journal of Oceanic Engineering. In recognition of his innovative work, he is a fellow of the Acoustic Society, received the bronze medal from the NDIA and is the 2017 recipient of the Donald W. Tufts award in underwater acoustic signal processing from the IEEE.
G. Scott Peacock is the Assistant Group Supervisor of the Systems Group at the Johns Hopkins University Applied Physics Lab (JHU/APL). Mr. Peacock received both his B.S. in Mathematics and an M.S. in Statistics from the University of Utah. He currently manages several research and development projects that focus on automated passive sonar algorithms for both organic and off-board sensors. Prior to joining JHU/APL Mr. Peacock was lead engineer on several large-scale Navy development tasks including an active sonar adjunct processor for the SQS-53C, a fast-time sonobuoy acoustic processor, and a full scale.
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