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Author Kang, Eyung W
Title Radar System Analysis, Design and Simulation
Imprint Norwood : Artech House, 2008
©2008
book jacket
Descript 1 online resource (392 pages)
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
Note Radar System Analysis, Design,and Simulation -- Contents -- Preface -- Acknowledgments -- Introduction -- Chapter 1 Matrix, Vector, and Linear Equations -- 1.1 Introduction -- 1.2 Simultaneous Linear Equation -- 1.2.1 Gaussian Elimination with Backsubstitution -- 1.2.2 Gaussian Elimination with Forward Substitution -- 1.3 Matrix Factorization -- 1.3.1 LU Factorization -- 1.3.2 LLT Factorization (Cholesky) -- 1.3.3 LDLT Factorization (Modified Cholesky) -- 1.3.4 UDUT Factorization -- 1.3.5 QR Factorization -- 1.4 Matrix Inversion -- 1.4.2 Lx-1 -- 1.4.3 U1-1 -- 1.4.4 Ux-1 -- 1.4.5 D-1 -- 1.4.6 Q-1 -- 1.5 Vector Operations -- 1.6 Matrix Operations -- 1.7 Conclusion -- Selected Bibliography -- Chapter 2 Pseudorandom Number, Noise, andClutter Generation -- 2.1 Introduction -- 2.2 Pseudorandom Number and Unit Uniform Variables -- 2.2.1 PRN Generation of an Arbitrary Population -- 2.3 White Gaussian Noise -- 2.4 Rayleigh Noise -- 2.5 Rician Random Variables, Signal-to-Noise Ratio -- 2.6 Chi-Squared Noise -- 2.7 Square-Law Detector -- 2.8 Exponential Noise -- 2.9 Lognormal Clutter -- 2.10 Weibull Clutter -- 2.11 Postulate of Probability Density Function from Sampled Data -- 2.12 Construction of Gaussian (Normal) Probability Paper -- 2.13 Conclusion -- References -- Chapter 3 Filters, FIR, and IIR -- 3.1 Introduction -- 3.2 Finite Impulse Response Filter (FIR) -- 3.2.1 FIR Filters, Lowpass, Highpass, Bandpass, and Bandstop -- 3.2.2 Window Functions: Rectangle, von Hann, Hamming, and Blackman -- 3.3 Infinite Impulse Response Filter (IIR) -- 3.3.1 Bilinear Transform -- 3.3.2 Review of Analog Filters -- 3.3.3 IIR Filter, Butterworth Lowpass -- 3.3.4 IIR Filter, Chebyshev Lowpass -- 3.3.5 IIR Filter, Elliptic Lowpass -- 3.3.6 IIR Filter, Elliptic Bandpass -- 3.3.7 Issue of Nonlinearity -- 3.3.8 Comparison Between FIR and IIR Filters
3.3.9 Quantized Noise and the Dynamic Range of A/D Converter -- References -- Chapter 4 Fast Fourier Transform (FFT) and IFFT -- 4.1 Introduction -- 4.2 Fast Fourier Transform, Decimation-in-Time and Decimation-in-Frequency -- 4.3 Demonstration of FFT_DIT and FFT_DIF -- 4.4 Spectral Leakage and Window Function -- 4.5 Inverse Fast Fourier Transform, Decimation-in-Time, and Decimation-in-Frequency -- 4.6 Applications of FFT and IFFT -- 4.6.1 Filtering in the Frequency Domain -- 4.6.2 Detection of Signal Buried in Noise -- 4.6.3 Interpolation of Data -- 4.6.4 Pulse Compression -- 4.6.5 Amplitude Unbalance and Phase Mismatch -- Appendix 4A -- References -- Chapter 5 Ambiguity Function -- 5.1 Introduction -- 5.2 Rectangular Pulse with a Single Constant Frequency -- 5.3 Linear Frequency Modulation (LFM) -- 5.4 Costas-Coded Frequency Hopping Modulation -- References -- Selected Bibliography -- Appendix 5A -- Chapter 6 Array Antennas -- 6.1 Introduction -- 6.2 Linear Array -- 6.3 Circular Aperture Array -- 6.4 Elliptical Aperture Array -- 6.5 Monopulse Array Antenna -- 6.6 Conclusion -- References -- Appendix 6A -- Closing Remarks -- Chapter 7 Target Detection -- 7.1 Introduction -- 7.2 Probability of Detection and the False Alarm Probability for Marcum's Target Model -- 7.3 The Probability of Detection, Swerling Target Models -- 7.3.1 Swerling Target Model 1 -- 7.3.2 Swerling Target Model 2 -- 7.3.3 Swerling Target Model 3 -- 7.3.4 Swerling Target Model 4 -- 7.4 Conclusion -- References -- Selected Bibliography -- Chapter 8 Kalman Filter -- 8.1 Introduction -- 8.2 Derivation of Kalman Filter Equations -- 8.3 Passenger Airliner -- 8.4 Air Traffic Control Radar -- 8.5 Air Defense Radar, Cartesian Coordinate System -- 8.6 Air Defense Radar, LOS Coordinates -- 8.7 Kalman Filter without Matrix Inversion -- References -- Selected Bibliography
Chapter 9 Monte Carlo Method and Function Integration -- 9.1 Introduction -- 9.2 Hit-or-Miss Method -- 9.3 Ordered Sample Method -- 9.4 Sample Mean Method -- 9.5 Importance Sampling Method -- 9.6 Observations and Remarks -- 9.7 Probability of False Alarm, Exponential Probability Density Function -- 9.8 Probability of False Alarm, Gaussian Probability Density Function -- 9.9 Integration of Functions -- 9.9.1 Trapezoidal Rule -- 9.9.2 Simpson's Rule and Extended Simpson's Rule -- 9.9.3 Gaussian Quadrature -- 9.10 Quadrature in Two Dimensions -- 9.11 Quadrature in Three Dimensions -- 9.12 Concluding Remarks -- References -- Appendix 9A -- Chapter 10 Constant False Alarm Rate (CFAR) Processing -- 10.1 Introduction -- 10.2 Cell-Averaged CFAR (CA-CFAR) -- 10.3 Order-Statistics CFAR, OS-CFAR -- 10.4 Weibull Clutter -- 10.4.1 Weibull Probability Density Function -- 10.4.2 Weibull Clutter After a Square-Law Detector -- 10.5 Weber-Haykin CFAR (WH-CFAR) -- 10.6 Maximum Likelihood CFAR (ML-CFAR) -- 10.7 Minimum Mean Square Error CFAR (MMSE-CFAR) -- 10.8 Conclusion -- References -- Selected Bibliography -- Chapter 11 Moving Target Indicator -- 11.1 Introduction -- 11.2 Nonrecursive Delay-Line Canceller -- 11.3 Recursive Delay-Line Canceller -- 11.4 Blind Speeds and Staggered PRFs -- 11.5 Clutter Attenuation and Improvement Factor -- 11.6 Limitations Due to System Instability -- 11.7 A/D Converter Quantization Noise -- 11.8 Clutter Map -- 11.9 Conclusion -- References -- Chapter 12 Miscellaneous Program Routines -- Index
This 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)
Description based on publisher supplied metadata and other sources
Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2020. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries
Link Print version: Kang, Eyung W. Radar System Analysis, Design and Simulation Norwood : Artech House,c2008 9781596933477
Subject Radar -- Design and construction.;Radar -- Simulation methods.;Radar.;System analysis
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