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This paper describes the results of current research at DREA in
which techniques of optimum array processing are being applied to
active sonar. We are presenting these results at the Advanced Study
Institute in order to illustrate some actual applications for such
processing and to point out some of the practical considerations
which arise in real systems. In particular, the paper concerns the
problems which arise when the individual sensor elements have a
complicated directivity pattern themselves. This is a common
phenomenon in active systems where the receiving sensors are
complex resonant structures and are housed in a dome or towed body
presenting various baffling and diffraction effects. Most
treatments of array processing consider ideal elements which have
well behaved directivity properties and are transparent to the
field. The results of this paper show that where these properties
are not met, careful in situ array measurements are required, and
even with such measurements practical array gains may not be as
good as predictions based on ideal sensors.
The summer school held in Portovenere followed a tutorial format
with the purpose of familiarizing postdoctoral or postgraduate
students in the basic theories and up-to-date applications of
present knowledge. Although, from a teaching point of view, a
certain areount of overlapping is always useful, in order to avoid
excessive duplication direct contact between lecturers expert in
the same subject was encouraged during the preparation phase. In
recent years computer facilities and theoretical implementa tion
have considerably increased the possibility of solving problems
relating to signal detection in noise. Any type of communication
may take advantage of signal processing principles, including any
type of physical measurement that can be considered as a
non-semantic and/or quasi-semantic communication. Since signal
processing techniques are common to many branches of science
(telecommunications, radar, sonar, seismology, geophysics, nuclear
research, space research and others), the advanced and
sophisticated levels reached singularly in anyone of them could be
used to the advantage of the others. In particular, underwater
acoustics is a discipline which, to some extent, represents a
practical general model that has permitted the development of
signal processing techniques suitable to meet data reduction and
interpretation needs of other branches of science. This ASI
consequently underlined the inter-disciplinarity of signal proces
sing in order that the principles of outstanding methods developed
in one field may be adapted to others.
This paper describes the results of current research at DREA in
which techniques of optimum array processing are being applied to
active sonar. We are presenting these results at the Advanced Study
Institute in order to illustrate some actual applications for such
processing and to point out some of the practical considerations
which arise in real systems. In particular, the paper concerns the
problems which arise when the individual sensor elements have a
complicated directivity pattern themselves. This is a common
phenomenon in active systems where the receiving sensors are
complex resonant structures and are housed in a dome or towed body
presenting various baffling and diffraction effects. Most
treatments of array processing consider ideal elements which have
well behaved directivity properties and are transparent to the
field. The results of this paper show that where these properties
are not met, careful in situ array measurements are required, and
even with such measurements practical array gains may not be as
good as predictions based on ideal sensors.
The summer school held in Portovenere followed a tutorial format
with the purpose of familiarizing postdoctoral or postgraduate
students in the basic theories and up-to-date applications of
present knowledge. Although, from a teaching point of view, a
certain areount of overlapping is always useful, in order to avoid
excessive duplication direct contact between lecturers expert in
the same subject was encouraged during the preparation phase. In
recent years computer facilities and theoretical implementa tion
have considerably increased the possibility of solving problems
relating to signal detection in noise. Any type of communication
may take advantage of signal processing principles, including any
type of physical measurement that can be considered as a
non-semantic and/or quasi-semantic communication. Since signal
processing techniques are common to many branches of science
(telecommunications, radar, sonar, seismology, geophysics, nuclear
research, space research and others), the advanced and
sophisticated levels reached singularly in anyone of them could be
used to the advantage of the others. In particular, underwater
acoustics is a discipline which, to some extent, represents a
practical general model that has permitted the development of
signal processing techniques suitable to meet data reduction and
interpretation needs of other branches of science. This ASI
consequently underlined the inter-disciplinarity of signal proces
sing in order that the principles of outstanding methods developed
in one field may be adapted to others."
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