processing of large time-bandwidth signals in sonar
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processing of large time-bandwidth signals in sonar by Stephen J. Wadeson

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Published by University ofBirmingham in Birmingham .
Written in English


Book details:

Edition Notes

Thesis (M.Sc.) - University of Birmingham, Dept of Electronic and Electrical Engineering.

Statementby Stephen J. Wadeson.
ID Numbers
Open LibraryOL13826892M

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  The transmitted signals consisted of linear FM pulses with time‐bandwidth products that ranged from to Environmental parameters, calculated from measured and archival data, were introduced in the GENERIC sonar model to compute the eigenrays at discrete frequencies closely spaced over the transmission by: 2. Hermand JP., Roderick W.I. () Model-Based Processing of Large Time-Bandwidth-Product Signals in a Time-Dispersive Ducted Sound Channel. In: Moura J.M.F., Lourtie I.M.G. (eds) Acoustic Signal Processing for Ocean Exploration. NATO ASI Series (Series C: Mathematical and Physical Sciences), vol Cited by: 3. Sonar signal processing. In book: Principles of Sonar Performance Modelling, pp In applications where large time-bandwidth products and high target speeds combine, linear FM pulse. This book discusses the concepts and techniques in the radar context, but they are equally essential to sonar and to a wide range of signaling and data-processing applications, including seismology, radio astronomy, and band-spread communications.

  Active sonar systems that transmit large time‐bandwidth (TW) product linear frequency‐modulated (LFM) waveforms and receive echoes from targets of unknown speed can suffer considerable correlation losses that cannot be predicted from conventional (narrow‐band) ambiguity function theory. As is well known, the theory can be modified to include the effects of Doppler distortion on large . Applied Research Laboratory Real and Complex Signals • A real-valued function of time, f(t), or space, f(x), or both, f(x,t), is often called a “real signal”. • It is sometimes useful for purposes of analysis to represent a signal as a complex valued function of space, time, or both: • More often, such a function is written in polar form: • The real-world signal f(t) represented by. expansions for SONAR signal processing. Although intelligent methods outperformed classic methods in SONAR signal processing using the same data, they need to large amount of real data for learning the artificial neural networks, thus a considerable number of research papers are based on simulations of SONAR signals and environments. Time-Bandwidth Product. The product of pulse width Τ and the receivers minimum bandwidth B W theoretically required is an invariant called the Time-Bandwidth Product (TBP or TBWP). This is an important parameter for radar designers and a measure of the possible pulse compression rate and the expectant time-side-lobes. The radar receiver should have a bandwidth as small as possible to avoid.

  This discussion of sonar signal processing bridges a number of related fields, including acoustic propagation in the medium, detection and estimation theory, filter theory, digital filtering, sensor array processing, spectral analysis, fast transforms and digital signal processing. The book begins with a discussion of the topics of analogue /5(1). Featuring traditional coverage as well as new research results that, until now, have been scattered throughout the professional literature, this book brings together--in simple language--the basic ideas and methods that have been developed to study natural and man-made signals whose frequency content changes with time--e.g., speech, sonar and radar, optical images, mechanical vibrations. Sonar systems are generally used underwater for range finding and detection. Active sonar emits an acoustic signal, or pulse of sound, into the water. The sound bounces off the target object and returns an “echo” to the sonar transducer. Unlike active sonar, passive sonar does not emit its own signal, which is an advantage for military vessels. 2 Chapter One Introduction to R adar Systems and Signal P rocessing 3 2R/c; thus, if A(t) > T(t) at some time delay t 0 after a pulse is transmitted, it is assumed that a target is present at range R = ct 2 0 () where c is the speed of light.1 Once an object has been detected, it may be desirable to track its location or velocity. A monostatic radar naturally measures position in a.