Fourier Transforms in Radar and Signal Processing View Larger Image | David Brandwood Artech House, Hardcover, Published March 2003, 216 pages, ISBN 1580531741 | List Price: $105.00 Our Price: $91.95 You Save: $13.05 (12% Off)
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Fourier transforms are used everyday for solving single functions and combinations
of functions found in radar and signal processing. Still, many problems that could
have been solved by using Fourier transforms have gone unsolved because they require
integration that is too computationally difficult. Now you can solve those integration-intensive
problems with the new approach to carrying out Fourier transforms presented in
this book.
By building upon Woodward’s well known “Rules
and Pairs” method and related concepts and procedures, this book establishes
a unified system that makes implicit the integration required for performing
Fourier transforms on a wide variety of functions. It details how complex functions
can be broken down to their constituent parts for analysis. You can now concentrate
on functional relationships instead of getting bogged down in the details of
integration. This new approach to applying Fourier transforms is illustrated
with many specific examples from digital signal processing as well as radar
and antenna operation.
Table of Contents
Introduction - Aim of the Work. Origin of the Rules and Pairs
Method for Fourier Transforms. Outline of the Rules and Pairs Method. The Fourier
Transform and Generalized Functions. Complex Waveforms and Spectra in Signal
Processing. Outline of the Contents.
Rules and Pairs - Introduction. Notation. Rules and Pairs.
Three Illustrations. Properties of the sinc Function. Brief Derivations of the
Rules and Pairs.
Pulse Spectra - Introduction. Symmetrical Trapezoidal Pulse.
Symmetrical Triangular Pulse. Asymmetrical Trapezoidal Pulse. Raised cosine
Pulse. Rounded Pulses. General Rounded Trapezoidal Pulse. Regular Train of Identical
RF Pulses. Carrier Gated by a Regular Pulse Train. Pulse Doppler Radar Target
Return. Summary.
Sampling Theory - Introduction. Basic Method. Wideband Sampling.
Uniform Sampling. Hilbert Sampling. Quadrate Sampling. Low IF Analytic Signal
Sampling. High IF Sampling. Summary. The Hilbert Transform.
Interpolation For Delayed Waveform Time Series - Introduction.
Spectrum Independent Interpolation. Least Squared Error Interpolation. Application
to Generation of Simulated Gaussian Clutter. Resampling. Summary.
Equalization - Introduction. Basic Approach. ramp and sncr
Functions. Simple Example of Amplitude Equalization. Equalization for
Broadband Array Radar. Sum Beam Equalization. Summary.
Array Beamforming - Introduction. Basic Principles. Uniform
Linear Arrays. Nonuniform Linear Arrays. Summary.
About the Author
David Brandwood is a senior
consultant at Roke Manor Research located in Romsey, Hants, U.K. A contributor
to IEE conferences and journals, he holds one degree in physics from Oxford
University and another in mathematics from the Open University.
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