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.
Good Article On Signal Processing Aliasing
This has a good basic explanation of signal aliasing and some MATLAB code examples. It is useful to understand the principles of aliasing signal processing.
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).
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.
Introduction to
sonar detection systems and types of signal processing
performed in sonar. Correlation processing, Fournier
analysis, windowing, and ambiguity functions. Evaluation of
probability of detection and false alarm rate for FFT and
broadband signal processors.
Beamforming and Array Processing.
Beam patterns for
sonar arrays, shading techniques for sidelobe control,
beamformer implementation. Calculation of DI and array
gain in directional noise fields.
Passive Sonar Signal Processing.
Review of signal
characteristics, ambient noise, and platform noise. Passive
system configurations and implementations. Spectral
analysis and integration.
Active Sonar Signal Processing.
Waveform selection and
ambiguity functions. Projector configurations. Reverberation
and multipath effects. Receiver design.
Passive and Active Designs and Implementations.
Design
specifications and trade-off examples will be worked, and
actual sonar system implementations will be examined.
Advanced Signal Processing Techniques.
Advanced
techniques for beamforming, detection, estimation, and
classification will be explored. Optimal array processing.
Data adaptive methods, super resolution spectral techniques,
time-frequency representations and active/passive automated
classification are among the advanced techniques that will be
covered.
Tuition:
Tuition for this three-day course is $1690 per person at one of our scheduled public courses. Onsite pricing is available. Please call us at 410-956-8805 or send an email to ati@aticourses.com.
