Radar Systems Analysis and Design Using MATLAB Second EditionAn introduction to radar systems should ideally be self-contained and hands-on, a combination lacking in most radar texts. The first edition of Radar Systems Analysis and Design Using MATLAB® provided such an approach, and the second edition continues in the same vein. This edition has been updated, expanded, and reorganized to include advances in the field and to be more logical in sequence. Ideal for anyone encountering the topic for the first time or for professionals in need of on-the-job reference, this book features an abundance of MATLAB programs and code. Radar Systems Analysis and Design Using MATLAB®, Second Edition presents the fundamentals and principles of radar along with enough rigorous mathematical derivations to ensure that you gain a deep understanding. The author has extensively revised chapters on radar cross-section and polarization, matched filter and radar ambiguity function, and radar wave propagation. He also added information on topics such as PRN codes, multipath and refraction, clutter and MTI processing, and high range resolution. With all MATLAB functions updated to reflect version 7.0 and an expanded set of self-test problems, you will find this up-to-date text to be the most complete treatment of radar available, providing the hands-on tools that will enrich your learning. |
Contents
Radar Fundamentals 1 | 13 |
Chapter 2 | 79 |
Chapter 3 | 119 |
Problems | 141 |
Chapter 5 | 203 |
Problems | 232 |
Chapter 7 | 295 |
Chapter 8 | 325 |
Chapter 11 | 465 |
Multiple Target Tracking | 485 |
Problems | 523 |
Chapter 12 | 527 |
Chapter 13 | 557 |
Chapter 14 | 621 |
| 627 | |
| 633 | |
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Common terms and phrases
ambiguity function amplitude antenna gain aperture array aspect angle Assume azimuth backscattered RCS bandwidth Barker code beam Calculate clutter Compute and plot corresponding dBsm defined delay line canceler denoted Description Units Status detection range Doppler shift false alarm figure(1 follows Fourier freq gain pattern grazing angle grid illustrated in Fig integration jammer Kalman filter LFM waveform linear Listing function matched filter MATLAB Function MATLAB Program matrix meters noise figure normally output peak power phase polarization probability of detection pulse compression pulse width R₁ radar cross section radar equation radar losses radar operating radar systems radial velocity radiation random variable range resolution ratio receiver reflection coefficient Reproduce Fig scan scatterers shown in Fig side-lobe sigma single pulse spectrum Swerling Symbol Description Units taup theta transmitted vector velocity versus wave waveform wavelength window xlabel zero
References to this book
Radar Systems Analysis and Design Using MATLAB Second Edition Bassem R. Mahafza Limited preview - 2005 |
Abbildende zerstörungsfreie Prüfverfahren mit elastischen und ... Alexander Zimmer Limited preview - 2008 |