Signal Processing in MATLAB. Design and Simulate Phased Array Signal Processing Systems PDF Download
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Author: A. Smith
Publisher: Createspace Independent Publishing Platform
ISBN: 9781983406058
Category :
Languages : en
Pages : 288
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Book Description
Phased Array System Toolbox provides algorithms and apps for the design, simulation, and analysis of sensor array systems in radar, wireless communications, sonar, and medical imaging applications. You can design end-to-end phased array systems and analyze their performance under different scenarios using synthetic or acquired data. Toolbox apps let you explore the characteristics of sensor arrays and waveforms and perform link budget analysis. In-product examples provide a starting point for implementing a full range of custom phased array systems. For radar and sonar system design, the toolbox lets you model the dynamics of ground-based, airborne, ship-borne, or submarine multifunction systems with moving targets and platforms. It includes pulsed and continuous waveforms and signal processing algorithms for beamforming, matched filtering, direction of arrival (DOA) estimation, and target detection. The toolbox also includes models for transmitters and receivers, propagation channels, targets, jammers, and clutter. For 5G, LTE, and WLAN wireless communications system design, the toolbox enables you to incorporate antenna arrays and beamforming algorithms into system-level simulation models. It includes capabilities for designing and analyzing array geometries and subarray configurations, and provides array processing algorithms for beamforming and DOA estimation. Toolbox algorithms are available as MATLAB System objects and Simulink blocks.
Author: A. Smith
Publisher: Createspace Independent Publishing Platform
ISBN: 9781983406058
Category :
Languages : en
Pages : 288
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Book Description
Phased Array System Toolbox provides algorithms and apps for the design, simulation, and analysis of sensor array systems in radar, wireless communications, sonar, and medical imaging applications. You can design end-to-end phased array systems and analyze their performance under different scenarios using synthetic or acquired data. Toolbox apps let you explore the characteristics of sensor arrays and waveforms and perform link budget analysis. In-product examples provide a starting point for implementing a full range of custom phased array systems. For radar and sonar system design, the toolbox lets you model the dynamics of ground-based, airborne, ship-borne, or submarine multifunction systems with moving targets and platforms. It includes pulsed and continuous waveforms and signal processing algorithms for beamforming, matched filtering, direction of arrival (DOA) estimation, and target detection. The toolbox also includes models for transmitters and receivers, propagation channels, targets, jammers, and clutter. For 5G, LTE, and WLAN wireless communications system design, the toolbox enables you to incorporate antenna arrays and beamforming algorithms into system-level simulation models. It includes capabilities for designing and analyzing array geometries and subarray configurations, and provides array processing algorithms for beamforming and DOA estimation. Toolbox algorithms are available as MATLAB System objects and Simulink blocks.
Author: Bassem R. Mahafza
Publisher: CRC Press
ISBN: 1135439206
Category : Technology & Engineering
Languages : en
Pages : 706
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Book Description
Simulation is integral to the successful design of modern radar systems, and there is arguably no better software for this purpose than MATLAB. But software and the ability to use it does not guarantee success. One must also: Ö Understand radar operations and design philosophy Ö Know how to select the radar parameters to meet the design requirements Ö Be able to perform detailed trade-off analysis in the context of radar sizing, modes of operation, frequency selection, waveforms, and signal processing Ö Develop loss and error budgets associated with the design MATLAB Simulations for Radar Systems Design teaches all of this and provides the M-files and hands-on simulation experience needed to design and analyze radar systems. Part I forms a comprehensive description of radar systems, their analysis, and the design process. The authors' unique approach involves a design case study introduced in Chapter 1 and followed throughout the text. As the treatment progresses, the complexity increases and the case study requirements are adjusted accordingly. Part II presents a series of chapters-some authored by other experts in the field-on specialized radar topics important to a full understanding of radar systems design and analysis. A comprehensive set of MATLAB programs and functions support both parts of the book and are available for download from the CRC Press Web site.
Author: A. Smith
Publisher: Createspace Independent Publishing Platform
ISBN: 9781983406256
Category :
Languages : en
Pages : 222
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Book Description
Phased arrays are collections of antennas, microphones, or acoustic transducers arranged in a pattern. Arrays convert signals into radiated energy for transmission to a target. Arrays also convert incoming energy from a source or reflecting object into signals. The phased.RadarTarget System object models a reflected signal from a target. The target may have a nonfluctuating or fluctuating radar cross section (RCS). There are several cases where the RCS exhibits relatively small or large magnitude fluctuations. These fluctuations can occur rapidly on pulse-to-pulse, or more slowly, on scan-to-scan time scales. A critical component in phased array system applications is the ability to model motion in space. Such modeling includes the motion of arrays, targets, and sources of interference. For convenience, you can ignore the distinction between these objects and collectively model the motion of a platform. Extended bodies can undergo both translational and rotational motion in space. Phased Array System Toolbox software supports modeling of translational motion. Modeling translational platform motion requires the specification of a position and velocity vector. Specification of a position vector implies a coordinate system. You can think of the platform position as the displacement vector from the global origin or as the coordinates of a point with respect to the global origin. You can use the Phased Array System Toolbox software to simulate radar systems that transmit, propagate, reflect, and receive polarized electromagnetic fields. By including this capability, the toolbox can realistically model the interaction of radar waves with targets and the environment. The sonar equation is used in underwater signal processing to relate received signal power to transmitted signal power for one-way or two-way sound propagation. The equation computes the received signal-to-noise ratio (SNR) from the transmitted signal level, taking into account transmission loss, noise level, sensor directivity, and target strength. The sonar equation serves the same purpose in sonar as the radar equation does in radar. The sonar equation has different forms for passive sonar and active sonar. You can use the Phased Array System Toolbox software together with the MATLAB Coder product to create C/C++ code that implements your MATLAB functions and models. In general, the code you generate using the toolbox is portable ANSI C code. In order to use code generation, you need a MATLAB Coder license. Using Phased Array System Toolbox software requires licenses for both the DSP System Toolbox and the Signal Processing Toolbox. You can generate standalone executables that run independently of the MATLAB environment. You can do this by creating a MATLAB Coder project inside the MATLAB Coder Integrated Development Environment (IDE).
Author: Bassem R. Mahafza
Publisher: CRC Press
ISBN: 1000528715
Category : Technology & Engineering
Languages : en
Pages : 690
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Book Description
The first edition of this ground-breaking and widely used book introduced a comprehensive textbook on radar systems analysis and design providing hands-on experience facilitated by its companion MATLAB® software. The book very quickly turned into a bestseller. Based on feedback provided by several users and drawing from the author's own teaching experience, the 4th edition adopts a new approach. The presentation in this edition takes the reader on a scientific journey whose major landmarks comprise the different radar sub-systems and components. Along the way, the different relevant radar subsystems are analyzed and discussed in great level of detail. Understanding the radar signal types and their associated radar signal processing techniques are key to understating how radar systems function. Each chapter provides the necessary mathematical and analytical coverage required for a sound understanding of radar theory. Additionally, dedicated MATLAB® functions/programs enhance the understanding of the theory and establish a means to perform radar system analysis and design trades. The software provides users with numerous varieties of graphical outputs. Additionally, a complete set of MATLAB® code that generates all plot and graphs found within the pages of this textbook are also available. All companion MATLAB® code can be downloaded from the book’s web page. The 4th Edition: •Takes advantage of the new features offered by MATLAB® 2021 release •Brings the text to a current state of the art •Incorporates much of the feedback received from users using this book as a text and from practicing engineers; accordingly, several chapters have been rewritten •Presents unique topics not found in other books •Maintains a comprehensive and exhaustive presentation •Restructures the presentation to be more convenient for course use. •Provides a post-course reference for engineering students as they enter the field •Offers a companion solutions manual for instructors The 4th edition will serve as a valuable tool to students and radar engineers by helping them better analyze and understand the many topics of radar systems. This book is written primarily as a graduate-level textbook, although parts of it can be used as a senior level course. A companion solutions manual has been developed for use by instructors.
Author: Bassem R. Mahafza
Publisher: CRC Press
ISBN: 1439884951
Category : Business & Economics
Languages : en
Pages : 774
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Book Description
Developed from the author’s graduate-level courses, the first edition of this book filled the need for a comprehensive, self-contained, and hands-on treatment of radar systems analysis and design. It quickly became a bestseller and was widely adopted by many professors. The second edition built on this successful format by rearranging and updating topics and code. Reorganized, expanded, and updated, Radar Systems Analysis and Design Using MATLAB®, Third Edition continues to help graduate students and engineers understand the many issues involved in radar systems design and analysis. Each chapter includes the mathematical and analytical coverage necessary for obtaining a solid understanding of radar theory. Additionally, MATLAB functions/programs in each chapter further enhance comprehension of the theory and provide a source for establishing radar system design requirements. Incorporating feedback from professors and practicing engineers, the third edition of this bestselling text reflects the state of the art in the field and restructures the material to be more convenient for course use. It includes several new topics and many new end-of-chapter problems. This edition also takes advantage of the new features in the latest version of MATLAB. Updated MATLAB code is available for download on the book’s CRC Press web page.
Author: Won Y. Yang
Publisher: Won Y. Yang
ISBN: 8972839965
Category : Antiques & Collectibles
Languages : en
Pages : 518
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Book Description
Chapter 1: Fourier Analysis................................................................................................................... 1 1.1 CTFS, CTFT, DTFT, AND DFS/DFT....................................................................................... 1 1.2 SAMPLING THEOREM.......................................................................................................... 16 1.3 FAST FOURIER TRANSFORM (FFT)................................................................................. 19 1.3.1 Decimation-in-Time (DIT) FFT..................................................................................... 19 1.3.2 Decimation-in-Frequency (DIF) FFT............................................................................ 22 1.3.3 Computation of IDFT Using FFT Algorithm................................................................ 23 1.4 INTERPRETATION OF DFT RESULTS............................................................................. 23 1.5 EFFECTS OF SIGNAL OPERATIONS ON DFT SPECTRUM....................................... 31 1.6 SHORT-TIME FOURIER TRANSFORM - STFT.............................................................. 32 Chapter 2: System Function, Impulse Response, and Frequency Response........................ 51 2.1 THE INPUT-OUTPUT RELATIONSHIP OF A DISCRETE-TIME LTI SYSTEM..... 52 2.1.1 Convolution...................................................................................................................... 52 2.1.2 System Function and Frequency Response................................................................... 54 2.1.3 Time Response................................................................................................................. 55 2.2 COMPUTATION OF LINEAR CONVOLUTION USING DFT...................................... 55 2.3 PHYSICAL MEANING OF SYSTEM FUNCTION AND FREQUENCY RESPONSE 58 Chapter 3: Correlation and Power Spectrum................................................................ 73 3.1 CORRELATION SEQUENCE................................................................................................ 73 3.1.1 Crosscorrelation............................................................................................................... 73 3.1.2 Autocorrelation.............................................................................................................. 76 3.1.3 Matched Filter................................................................................................................ 80 3.2 POWER SPECTRAL DENSITY (PSD)................................................................................. 83 3.2.1 Periodogram PSD Estimator........................................................................................... 84 3.2.2 Correlogram PSD Estimator......................................................................................... 85 3.2.3 Physical Meaning of Periodogram............................................................................... 85 3.3 POWER SPECTRUM, FREQUENCY RESPONSE, AND COHERENCE..................... 89 3.3.1 PSD and Frequency Response........................................................................................ 90 3.3.2 PSD and Coherence....................................................................................................... 91 3.4 COMPUTATION OF CORRELATION USING DFT ...................................................... 94 Chapter 4: Digital Filter Structure................................................................................ 99 4.1 INTRODUCTION...................................................................................................................... 99 4.2 DIRECT STRUCTURE ........................................................................................................ 101 4.2.1 Cascade Form................................................................................................................ 102 4.2.2 Parallel Form............................................................................................................... 102 4.3 LATTICE STRUCTURE ..................................................................................................... 104 4.3.1 Recursive Lattice Form................................................................................................. 106 4.3.2 Nonrecursive Lattice Form........................................................................................... 112 4.4 LINEAR-PHASE FIR STRUCTURE ................................................................................ 114 4.4.1 FIR Filter with Symmetric Coefficients...................................................................... 115 4.4.2 FIR Filter with Anti-Symmetric Coefficients........................................................... 115 4.5 FREQUENCY-SAMPLING (FRS) STRUCTURE .......................................................... 118 4.5.1 Recursive FRS Form..................................................................................................... 118 4.5.2 Nonrecursive FRS Form............................................................................................. 124 4.6 FILTER STRUCTURES IN MATLAB ............................................................................. 126 4.7 SUMMARY ............................................................................................................................ 130 Chapter 5: Filter Design.............................................................................................. 137 5.1 ANALOG FILTER DESIGN................................................................................................. 137 5.2 DISCRETIZATION OF ANALOG FILTER.................................................................... 145 5.2.1 Impulse-Invariant Transformation............................................................................. 145 5.2.2 Step-Invariant Transformation - Z.O.H. (Zero-Order-Hold) Equivalent .............. 146 5.2.3 Bilinear Transformation (BLT).................................................................................. 147 5.3 DIGITAL FILTER DESIGN................................................................................................. 150 5.3.1 IIR Filter Design............................................................................................................ 151 5.3.2 FIR Filter Design......................................................................................................... 160 5.4 FDATOOL................................................................................................................................ 171 5.4.1 Importing/Exporting a Filter Design Object................................................................ 172 5.4.2 Filter Structure Conversion........................................................................................ 174 5.5 FINITE WORDLENGTH EFFECT..................................................................................... 180 5.5.1 Quantization Error......................................................................................................... 180 5.5.2 Coefficient Quantization............................................................................................. 182 5.5.3 Limit Cycle.................................................................................................................. 185 5.6 FILTER DESIGN TOOLBOX ............................................................................................ 193 Chapter 6: Spectral Estimation................................................................................... 205 6.1 CLASSICAL SPECTRAL ESTIMATION.......................................................................... 205 6.1.1 Correlogram PSD Estimator......................................................................................... 205 6.1.2 Periodogram PSD Estimator....................................................................................... 206 6.2 MODERN SPECTRAL ESTIMATION ............................................................................ 208 6.2.1 FIR Wiener Filter........................................................................................................ 208 6.2.2 Prediction Error and White Noise.............................................................................. 212 6.2.3 Levinson Algorithm.................................................................................................... 214 6.2.4 Burg Algorithm........................................................................................................... 217 6.2.5 Various Modern Spectral Estimation Methods......................................................... 219 6.3 SPTOOL .................................................................................................................................. 224 Chapter 7: DoA Estimation......................................................................................... 241 7.1 BEAMFORMING AND NULL STEERING...................................................................... 244 7.1.1 Beamforming................................................................................................................. 244 7.1.2 Null Steering................................................................................................................ 248 7.2 CONVENTIONAL METHODS FOR DOA ESTIATION................................................ 250 7.2.1 Delay-and-Sum (or Fourier) Method - Classical Beamformer.................................. 250 7.2.2 Capon's Minimum Variance Method......................................................................... 252 7.3 SUBSPACE METHODS FOR DOA ESTIATION............................................................ 253 7.3.1 MUSIC (MUltiple SIgnal Classification) Algorithm................................................. 253 7.3.2 Root-MUSIC Algorithm............................................................................................. 254 7.3.3 ESPRIT Algorithm...................................................................................................... 256 7.4 SPATIAL SMOOTHING TECHNIQUES ........................................................................ 258 Chapter 8: Kalman Filter and Wiener Filter............................................................. 267 8.1 DISCRETE-TIME KALMAN FILTER.............................................................................. 267 8.1.1 Conditional Expectation/Covariance of Jointly Gaussian Random Vectors............. 267 8.1.2 Stochastic Statistic Observer...................................................................................... 270 8.1.3 Kalman Filter for Nonstandard Cases........................................................................ 276 8.1.4 Extended Kalman Filter (EKF).................................................................................. 286 8.1.5 Unscented Kalman Filter (UKF)................................................................................ 288 8.2 DISCRETE-TIME WIENER FILTER .............................................................................. 291 Chapter 9: Adaptive Filter.......................................................................................... 301 9.1 OPTIMAL FIR FILTER........................................................................................................ 301 9.1.1 Least Squares Method................................................................................................... 302 9.1.2 Least Mean Squares Method...................................................................................... 304 9.2 ADAPTIVE FILTER ............................................................................................................ 306 9.2.1 Gradient Search Approach - LMS Method.................................................................. 306 9.2.2 Modified Versions of LMS Method........................................................................... 310 9.3 MORE EXAMPLES OF ADAPTIVE FILTER ............................................................... 316 9.4 RECURSIVE LEAST-SQUARES ESTIMATION .......................................................... 320 Chapter 10: Multi-Rate Signal Processing and Wavelet Transform............................ 329 10.1 MULTIRATE FILTER........................................................................................................ 329 10.1.1 Decimation and Interpolation..................................................................................... 330 10.1.2 Sampling Rate Conversion....................................................................................... 334 10.1.3 Decimator/Interpolator Polyphase Filters................................................................ 335 10.1.4 Multistage Filters........................................................................................................ 339 10.1.5 Nyquist (M) Filters and Half-Band Filters.............................................................. 348 10.2 TWO-CHANNEL FILTER BANK ................................................................................... 351 10.2.1 Two-Channel SBC (SubBand Coding) Filter Bank.................................................. 351 10.2.2 Standard QMF (Quadrature Mirror Filter) Bank.................................................... 352 10.2.3 PR (Perfect Reconstruction) Conditions.................................................................. 353 10.2.4 CQF (Conjugate Quadrature Filter) Bank................................................................. 354 10.3 M-CHANNEL FILTER BANK ......................................................................................... 358 10.3.1 Complex-Modulated Filter Bank (DFT Filter Bank)................................................ 359 10.3.2 Cosine-Modulated Filter Bank................................................................................. 363 10.3.3 Dyadic (Octave) Filter Bank.................................................................................... 366 10.4 WAVELET TRANSFORM ............................................................................................... 369 10.4.1 Generalized Signal Transform................................................................................... 369 10.4.2 Multi-Resolution Signal Analysis............................................................................ 371 10.4.3 Filter Bank and Wavelet........................................................................................... 374 10.4.4 Properties of Wavelets and Scaling Functions.......................................................... 378 10.4.5 Wavelet, Scaling Function, and DWT Filters......................................................... 379 10.4.6 Wavemenu Toolbox and Examples of DWT.......................................................... 382 Chapter 11: Two-Dimensional Filtering...................................................................... 401 11.1 DIGITAL IMAGE TRANSFORM..................................................................................... 401 11.1.1 2-D DFT (Discrete Fourier Transform)..................................................................... 401 11.1.2 2-D DCT (Discrete Cosine Transform)................................................................... 402 11.1.3 2-D DWT (Discrete Wavelet Transform)................................................................ 404 11.2 DIGITAL IMAGE FILTERING ....................................................................................... 411 11.2.1 2-D Filtering................................................................................................................ 411 11.2.2 2-D Correlation......................................................................................................... 412 11.2.3 2-D Wiener Filter...................................................................................................... 412 11.2.4 Smoothing Using LPF or Median Filter.................................................................... 413 11.2.5 Sharpening Using HPF or Gradient/Laplacian-Based Filter.................................. 414
Author: John W. Leis
Publisher: John Wiley & Sons
ISBN: 1118033809
Category : Science
Languages : en
Pages : 352
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Book Description
Quickly Engages in Applying Algorithmic Techniques to Solve Practical Signal Processing Problems With its active, hands-on learning approach, this text enables readers to master the underlying principles of digital signal processing and its many applications in industries such as digital television, mobile and broadband communications, and medical/scientific devices. Carefully developed MATLAB® examples throughout the text illustrate the mathematical concepts and use of digital signal processing algorithms. Readers will develop a deeper understanding of how to apply the algorithms by manipulating the codes in the examples to see their effect. Moreover, plenty of exercises help to put knowledge into practice solving real-world signal processing challenges. Following an introductory chapter, the text explores: Sampled signals and digital processing Random signals Representing signals and systems Temporal and spatial signal processing Frequency analysis of signals Discrete-time filters and recursive filters Each chapter begins with chapter objectives and an introduction. A summary at the end of each chapter ensures that one has mastered all the key concepts and techniques before progressing in the text. Lastly, appendices listing selected web resources, research papers, and related textbooks enable the investigation of individual topics in greater depth. Upon completion of this text, readers will understand how to apply key algorithmic techniques to address practical signal processing problems as well as develop their own signal processing algorithms. Moreover, the text provides a solid foundation for evaluating and applying new digital processing signal techniques as they are developed.
Author: Thad B. Welch
Publisher: CRC Press
ISBN: 0849373824
Category : Technology & Engineering
Languages : en
Pages : 399
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Book Description
From personal music players to anti-lock brakes and advanced digital flight controllers, the demand for real-time digital signal processing (DSP) continues to grow. Mastering real-time DSP is one of the most challenging and time-consuming pursuits in the field, exacerbated by the lack of a resource that solidly bridges the gap between theory and practice. Recognizing that there is a better way forward, accomplished experts Welch, Wright, and Morrow offer Real-Time Digital Signal Processing from MATLAB to C with the TMS320C6x DSK. This book collects all of the necessary tools in a single, field-tested source of unrivaled authority. The authors seamlessly integrate theory with easy-to-use, inexpensive hardware and software tools in an approachable and hands-on manner. Using abundant examples and exercises in a step-by-step approach, they work from familiar interfaces such as MATLAB® to running algorithms in real-time on industry-standard DSP hardware. For each concept, the book uses a four-step methodology: a brief review of relevant theory; demonstration of the concept in winDSK6, an easy-to-use software tool; explanation and demonstration of MATLAB techniques for implementation; and explanation of the necessary C code to implement the algorithms in real time. Covering a broad spectrum of topics in a hands-on, concise, and approachable way, Real-Time Digital Signal Processing from MATLAB to C with the TMS320C6x DSK paves the way toward mastery of real-time DSP. Essential source code is available for download.
Author: Taan ElAli
Publisher: CRC Press
ISBN: 1420054759
Category : Technology & Engineering
Languages : en
Pages : 522
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Book Description
Designed for a one-semester undergraduate course in continuous linear systems, Continuous Signals and Systems with MATLAB®, Second Edition presents the tools required to design, analyze, and simulate dynamic systems. It thoroughly describes the process of the linearization of nonlinear systems, using MATLAB® to solve most examples and problems. With updates and revisions throughout, this edition focuses more on state-space methods, block diagrams, and complete analog filter design. New to the Second Edition • A chapter on block diagrams that covers various classical and state-space configurations • A completely revised chapter that uses MATLAB to illustrate how to design, simulate, and implement analog filters • Numerous new examples from a variety of engineering disciplines, with an emphasis on electrical and electromechanical engineering problems Explaining the subject matter through easy-to-follow mathematical development as well as abundant examples and problems, the text covers signals, types of systems, convolution, differential equations,Fourier series and transform, the Laplace transform, state-space representations, block diagrams, system linearization, and analog filter design. Requiring no prior fluency with MATLAB, it enables students to master both the concepts of continuous linear systems and the use of MATLAB to solve problems.
Author: Bassem R. Mahafza
Publisher: CRC Press
ISBN: 1420066447
Category : Mathematics
Languages : en
Pages : 500
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Book Description
Offering radar-related software for the analysis and design of radar waveform and signal processing, Radar Signal Analysis and Processing Using MATLAB provides a comprehensive source of theoretical and practical information on radar signals, signal analysis, and radar signal processing with companion MATLAB code. Aft
