Whether you are an experienced radar engineer striving to optimize system performance or a graduate student looking to gain a practical understanding of radar system design, this authoritative volume is a smart choice. The book helps you master critical system analysis and design skills, and shows you how to use digital computer simulation to verify that an analysis is correct and that a design is optimal.
This comprehensive resource covers a wide range of essential topics, from matrix, vector and linear equations, noise and clutter generation, Filters (FIR and IIR), and fast Fourier transforms? to ambiguity functions, antennas, target detection, and the Kalman filter? to the Monte Carlo method, constant false alarm rate (CFAR) processing, and moving target indicators (MTI). Striking the right balance between depth and breath, the book offers you a solid foundation in all the key topics covered, supporting discussions with detailed examples, more than 340 equations, and over 250 illustrations.
CD-ROM Included! Contains over 200 valuable simulation and implementation tools, written in C++, to help you with your challenging projects in the field.
|Publisher:||Artech House, Incorporated|
|Product dimensions:||7.20(w) x 10.20(h) x 1.10(d)|
About the Author
Eyung W. Kang is a former adjunct instructor and lecturer at the University of Texas at El Paso and has several years of industry experience, working for Samsung Electric Co., Bendix/Allied Signal/ Honeywell Corp., Goodyear Aerospace Corp., and ITT Federal Laboratories. Dr. Kang holds an M.S. in electrical engineering from New Mexico State University, Las Cruces, NM and a Ph.D. from Florida Atlantic University, Boca Raton.
Table of Contents
Matrix, Vector and linear Equation. Pseudo-Random Number, Noise and Clutter Generation. Filter, FIR and IIR. Fast Fourier Transform. Ambiguity Function. Antenna. Target Detection. Kalman Filter. Monte Carlo Method and Function Integrations. Constant False Alarm Rate (CFAR) Processing. Moving Target Indicator (MTI). Miscellany. Index.
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