Signal Processing and Comunications with MATLAB. Antenna Modeling and Analysis PDF Download
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Author: G. Peck
Publisher: Createspace Independent Publishing Platform
ISBN: 9781981799749
Category :
Languages : en
Pages : 146
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Book Description
MATLAB Antenna Toolbox provides functions and apps for the design, analysis, and visualization of antenna elements and arrays. You can design standalone antennas and build arrays of antennas using either predefined elements with parameterized geometry or arbitrary planar elements. Antenna Toolbox uses the method of moments (MoM) to compute port properties such as impedance, surface properties such as current and charge distribution, and field properties such as the near-field and far-field radiation pattern. You can visualize antenna geometry and analysis results in 2D and 3D. You can integrate antennas and arrays into wireless systems, and use impedance analysis to design matching networks. Antenna Toolbox provides radiation patterns for simulating beam forming and beam steering algorithms. You can generate Gerber files from your design for manufacturing printed circuit board (PCB) antennas.
Author: G. Peck
Publisher: Createspace Independent Publishing Platform
ISBN: 9781981799749
Category :
Languages : en
Pages : 146
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Book Description
MATLAB Antenna Toolbox provides functions and apps for the design, analysis, and visualization of antenna elements and arrays. You can design standalone antennas and build arrays of antennas using either predefined elements with parameterized geometry or arbitrary planar elements. Antenna Toolbox uses the method of moments (MoM) to compute port properties such as impedance, surface properties such as current and charge distribution, and field properties such as the near-field and far-field radiation pattern. You can visualize antenna geometry and analysis results in 2D and 3D. You can integrate antennas and arrays into wireless systems, and use impedance analysis to design matching networks. Antenna Toolbox provides radiation patterns for simulating beam forming and beam steering algorithms. You can generate Gerber files from your design for manufacturing printed circuit board (PCB) antennas.
Author: G. Peck
Publisher: Createspace Independent Publishing Platform
ISBN: 9781981809677
Category :
Languages : en
Pages : 144
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Book Description
MATLAB Antenna Toolbox allows you to perform the following tasks: Rapid design and visualization of antennas using predefined or custom elements Design of arbitrary printed structures (PCB), and Gerber file generation for antenna manufacturing Design of linear, rectangular, conformal, and custom antenna arrays Large array analysis using the infinite array or embedded element pattern approach Port analysis of impedance, return loss, and S-parameters of antennas and antenna arrays Radiation field analysis of the pattern, E-H fields, and beam width of antennas, antenna arrays, and custom data Surface analysis of antenna and antenna array current, charge, and meshing
Author: Houman Zarrinkoub
Publisher: John Wiley & Sons
ISBN: 1118443454
Category : Technology & Engineering
Languages : en
Pages : 513
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Book Description
An introduction to technical details related to the Physical Layer of the LTE standard with MATLAB® The LTE (Long Term Evolution) and LTE-Advanced are among the latest mobile communications standards, designed to realize the dream of a truly global, fast, all-IP-based, secure broadband mobile access technology. This book examines the Physical Layer (PHY) of the LTE standards by incorporating three conceptual elements: an overview of the theory behind key enabling technologies; a concise discussion regarding standard specifications; and the MATLAB® algorithms needed to simulate the standard. The use of MATLAB®, a widely used technical computing language, is one of the distinguishing features of this book. Through a series of MATLAB® programs, the author explores each of the enabling technologies, pedagogically synthesizes an LTE PHY system model, and evaluates system performance at each stage. Following this step-by-step process, readers will achieve deeper understanding of LTE concepts and specifications through simulations. Key Features: • Accessible, intuitive, and progressive; one of the few books to focus primarily on the modeling, simulation, and implementation of the LTE PHY standard • Includes case studies and testbenches in MATLAB®, which build knowledge gradually and incrementally until a functional specification for the LTE PHY is attained • Accompanying Web site includes all MATLAB® programs, together with PowerPoint slides and other illustrative examples Dr Houman Zarrinkoub has served as a development manager and now as a senior product manager with MathWorks, based in Massachusetts, USA. Within his 12 years at MathWorks, he has been responsible for multiple signal processing and communications software tools. Prior to MathWorks, he was a research scientist in the Wireless Group at Nortel Networks, where he contributed to multiple standardization projects for 3G mobile technologies. He has been awarded multiple patents on topics related to computer simulations. He holds a BSc degree in Electrical Engineering from McGill University and MSc and PhD degrees in Telecommunications from the Institut Nationale de la Recherche Scientifique, in Canada. www.wiley.com/go/zarrinkoub
Author: Frank Gross
Publisher: McGraw Hill Professional
ISBN: 0071588957
Category : Technology & Engineering
Languages : en
Pages : 288
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Book Description
Smart antennas boost the power of a wireless network, saving energy and money and greatly increasing the range of wireless broadband. Smart Antennas is a rigorous textbook on smart antenna design and deployment.
Author: Sergey N. Makarov
Publisher: John Wiley & Sons
ISBN: 1119693705
Category : Technology & Engineering
Languages : en
Pages : 338
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Book Description
ANTENNA AND EM MODELING WITH MATLAB ANTENNA TOOLBOXTM An essential text to MATLAB Antenna ToolboxTM as accessible and easy-to-use full-wave antenna modeling tool Antenna and EM Modeling with MATLAB Antenna ToolboxTM is a textbook on antennas intended for a one semester course. The core philosophy is to introduce the key antenna concepts and follow them up with full-wave modeling and optimization in the MATLAB Antenna ToolboxTM. Such an approach will enable immediate testing of theoretical concepts by experimenting in software. It also provides the direct path to research work. The fundamental families of antennas — dipoles, loops, patches, and traveling wave antennas — are discussed in detail, together with the respective antenna arrays. Using antenna parameters such as impedance, reflection coefficient, efficiency, directivity, and gain, the reader is introduced to the different ways of understanding the performance of an antenna. Written for senior undergraduates, graduates as well as RF/Antenna engineers, Antenna and EM Modeling with Antenna ToolboxTM is a resource that: Provides 14 video assisted laboratories on using Antenna ToolboxTM Includes approximately 50 real-world examples in antenna and array design Offers approximately 200 homework problems Provides multiple ready-to-use standalone MATLAB® scripts
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: 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: Keith F. McDonald
Publisher:
ISBN:
Category : Antenna arrays
Languages : en
Pages : 272
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Book Description
Man made interference, which is typically non-Gaussian, is another major source of performance degradation. Just as it is typical to assume that the covariance matrix of the surrounding range cells exactly matches that of the test cell, the non-Gaussian component of the interference is usually ignored in the analysis and design of adaptive radar and communication systems. To address this issue, a statistical noise model is developed in this dissertation from mathematical modeling of the physical mechanisms that generate interference and noise in receivers employing antenna arrays. Such models have been lacking for cases where the antenna observations may be statistically dependent from antenna to antenna. The model derived here is applicable to a wide variety of practical situations. It is both canonical in form and computationally manageable.
Author: Randy L. Haupt
Publisher: John Wiley & Sons
ISBN: 9780470937433
Category : Technology & Engineering
Languages : en
Pages : 534
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Book Description
A comprehensive tutorial on the design and practical applications of antenna arrays An antenna array is an assembly of antenna elements that maximizes a received or transmitted signal in a desired direction. This practical book covers a wide range of antenna array topics that are becoming increasingly important in wireless applications, with emphasis on array design, applications, and computer modeling. Each chapter in Antenna Arrays builds upon the previous chapter, progressively addressing more difficult material. Beginning with basic electromagnetics/antennas/antenna systems information, the book then deals with the analysis and synthesis of arrays of point sources and their associated array factors. It presents a sampling of different antenna elements that replace these point sources, then presents element configurations that do not have to lie along a line or in a plane. The complex and difficult-to-predict interactions of elements and electromagnetic waves are introduced, along with computer modeling and experiments that are necessary for predicting the performance of arrays where mutual coupling is important. Then, various approaches to getting signals to and from the array elements to a computer where the signal detection takes place are explored, as are the numerical techniques behind smart antennas. The book emphasizes the computational methods used in the design and analysis of array antennas. Also featured are signal processing and numerical modeling algorithms, as well as pictures of antenna arrays and components provided by industry and government sources, with explanations of how they operate. Fully course-tested, Antenna Arrays serves as a complete text in phased array design and theory for advanced undergraduate- and graduate-level courses in electronics and communications, as well as a reference for practicing engineers and scientists in wireless communications, radar, and remote sensing.
Author: E.S. Gopi
Publisher: Springer Nature
ISBN: 303082036X
Category : Technology & Engineering
Languages : en
Pages : 233
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Book Description
The updated book presents Matlab illustrations on various digital signal processing (DSP) techniques such as random process, time varying wireless system model, and detection and estimation theory used in wireless communication. The book also covers recent wireless techniques like OFDM, massive MIMO techniques, non-orthogonal multiple access, millimeter wave MIMO, full duplex, cognitive radio, co-operating communication, unmanned aerial vehicles etc. This book is suitable for those who are doing basic and applied research in digital signal processing for wireless communication.
