Digital Modulation and BER Using MATLAB
| Author | : Ali Kamal |
| Publisher | : |
| Total Pages | : 76 |
| Release | : 2016-12-25 |
| Genre | : |
| ISBN | : 9783330013438 |
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Digital Modulation And Ber Using Matlab PDF Download
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Digital Modulations Using Matlab
| Author | : Varsha Srinivasan |
| Publisher | : |
| Total Pages | : 204 |
| Release | : 2019-05-30 |
| Genre | : |
| ISBN | : 9781095100417 |
Download Digital Modulations Using Matlab Book in PDF, ePub and Kindle
This paperback is a color edition. Link to the black & white edition: https: //www.amazon.com/gp/product/152149388X Digital Modulations using Matlab is a learner-friendly, practical and example driven book, that gives you a solid background in building simulation models for digital modulation systems in Matlab. This book, an essential guide for understanding the implementation aspects of a digital modulation system, shows how to simulate and model a digital modulation system from scratch. The implemented simulation models shown in this book, mostly will not use any of the inbuilt communication toolbox functions and hence provide an opportunity for an engineer to understand the basic implementation aspects of modeling various building blocks of a digital modulation system. It presents the following key topics with required theoretical background along with the implementation details in the form of Matlab scripts. * Basics of signal processing essential for implementing digital modulation techniques - generation of test signals, interpreting FFT results, power and energy of a signal, methods to compute convolution, analytic signal and applications. * Waveform and complex equivalent baseband simulation models. * Digital modulation techniques covered: BPSK and its variants, QPSK and its variants, M-ary PSK, M-ary QAM, M-ary PAM, CPM, MSK, GMSK, M-ary FSK. * Monte Carlo simulation for ascertaining performance of digital modulation techniques in AWGN and fading channels - Eb/N0 Vs BER curves. * Design and implementation of linear equalizers - zero forcing and MMSE equalizers, using them in a communication link. * Simulation and performance of modulation systems with receiver impairments.
MATLAB/Simulink for Digital Communication
| Author | : Won Y. Yang |
| Publisher | : Won Y. Yang |
| Total Pages | : 459 |
| Release | : 2018-03-02 |
| Genre | : Antiques & Collectibles |
| ISBN | : 8972839981 |
Download MATLAB/Simulink for Digital Communication Book in PDF, ePub and Kindle
Chapter 1: Fourier Analysis 1 1.1 CONTINUOUS-TIME FOURIER SERIES (CTFS)................................................................... 2 1.2 PROPERTIES OF CTFS............................................................................................................... 6 1.2.1 Time-Shifting Property....................................................................................................... 6 1.2.2 Frequency-Shifting Property ............................................................................................ 6 1.2.3 Modulation Property......................................................................................................... 6 1.3 CONTINUOUS-TIME FOURIER TRANSFORM (CTFT)....................................................... 7 1.4 PROPERTIES OF CTFT............................................................................................................. 13 1.4.1 Linearity............................................................................................................................ 13 1.4.2 Conjugate Symmetry........................................................................................................ 13 1.4.3 Real Translation (Time Shifting) and Complex Translation (Frequency Shifting)..... 14 1.4.4 Real Convolution and Correlation................................................................................... 14 1.4.5 Complex Convolution – Modulation/Windowing.......................................................... 14 1.4.6 Duality............................................................................................................................... 17 1.4.7 Parseval Relation - Power Theorem................................................................................ 18 1.5 DISCRETE-TIME FOURIER TRANSFORM (DTFT)............................................................ 18 1.6 DISCRETE-TIME FOURIER SERIES - DFS/DFT.................................................................. 19 1.7 SAMPLING THEOREM............................................................................................................. 21 1.7.1 Relationship between CTFS and DFS ........................................................................... 21 1.7.2 Relationship between CTFT and DTFT.......................................................................... 27 1.7.3 Sampling Theorem............................................................................................................ 27 1.8 POWER, ENERGY, AND CORRELATION............................................................................ 29 1.9 LOWPASS EQUIVALENT OF BANDPASS SIGNALS........................................................ 30 Chapter 2: PROBABILITY AND RANDOM PROCESSES 39 2.1 PROBABILITY........................................................................................................................... 39 2.1.1 Definition of Probability................................................................................................. 39 2.1.2 Joint Probability and Conditional Probability............................................................... 40 2.1.3 Probability Distribution/Density Function..................................................................... 41 2.1.4 Joint Probability Density Function................................................................................. 41 2.1.5 Condtional Probability Density Function...................................................................... 41 2.1.6 Independence................................................................................................................... 41 2.1.7 Function of a Random Variable...................................................................................... 42 2.1.8 Expectation, Covariance, and Correlation..................................................................... 43 2.1.9 Conditional Expectation.................................................................................................. 47 2.1.10 Central Limit Theorem - Normal Convergence Theorem............................................. 47 2.1.11 Random Processes............................................................................................................ 49 2.1.12 Stationary Processes and Ergodic Processes.................................................................. 51 2.1.13 Power Spectral Density (PSD)......................................................................................... 53 2.1.14 White Noise and Colored Noise...................................................................................... 53 2.2 LINEAR FILTERING OF A RANDOM PROCESS................................................................ 57 2.3 PSD OF A RANDOM PROCESS.............................................................................................. 58 2.4 FADING EFFECT OF A MULTIPATH CHANNEL............................................................... 58 Chapter 3: ANALOG MODULATION 71 3.1 AMPLITUDE MODULATION (AM)....................................................................................... 71 3.1.1 DSB (Double Sideband)-AM (Amplitude Modulation)............................................... 71 3.1.2 Conventional AM (Amplitude Modulation)................................................................ 75 3.1.3 SSB (Single Sideband)-AM(Amplitude Modulation)................................................. 78 3.2 ANGLE MODULATION (AGM) - FREQUENCY/PHASE MODULATIONS .................. 82 Chapter 4: ANALOG-TO-DIGITAL CONVERSION 87 4.1 QUANTIZATION........................................................................................................................ 87 4.1.1 Uniform Quantization..................................................................................................... 88 4.1.2 Non-uniform Quantization.............................................................................................. 89 4.1.3 Non-uniform Quantization Considering the Absolute Errors .................................... 91 4.2 Pulse Code Modulation (PCM)................................................................................................... 95 4.3 Differential Pulse Code Modulation (DPCM)........................................................................... 97 4.4 Delta Modulation (DM)............................................................................................................. 100 Chapter 5: BASEBAND TRANSMISSION 107 5.1 RECEIVER (RCVR) and SNR ............................................................................................... 107 5.1.1 Receiver of RC Filter Type.......................................................................................... 109 5.1.2 Receiver of Matched Filter Type................................................................................. 110 5.1.3 Signal Correlator........................................................................................................... 112 5.2 PROBABILITY OF ERROR WITH SIGNALING................................................................ 114 5.2.1 Antipodal (Bipolar) Signaling...................................................................................... 114 5.2.2 On-Off Keying (OOK)/Unipolar Signaling................................................................. 118 5.2.3 Orthogonal Signaling.................................................................................................... 119 5.2.4 Signal Constellation Diagram...................................................................................... 121 5.2.5 Simulation of Binary Communication......................................................................... 123 5.2.6 Multi-Level(amplitude) PAM Signaling..................................................................... 127 5.2.7 Multi-Dimensional Signaling....................................................................................... 129 5.2.8 Bi-Orthogonal Signaling............................................................................................... 133 Chapter 6: BANDLIMITED CHANNEL AND EQUALIZER 139 6.1 BANDLIMITED CHANNEL................................................................................................... 139 6.1.1 Nyquist Bandwidth........................................................................................................ 139 6.1.2 Raised-Cosine Frequency Response............................................................................ 141 6.1.3 Partial Respone Signaling - Duobinary Signaling...................................................... 143 6.2 EQUALIZER............................................................................................................................. 148 6.2.1 Zero-Forcing Equalizer (ZFE)...................................................................................... 148 6.2.2 MMSE Equalizer (MMSEE)........................................................................................ 151 6.2.3 Adaptive Equalizer (ADE)........................................................................................... 154 6.2.4 Decision Feedback Equalizer (DFE)............................................................................ 155 Chapter 7: BANDPASS TRANSMISSION 169 7.1 AMPLITUDE SHIFT KEYING (ASK)................................................................................... 169 7.2 FREQUENCY SHIFT KEYING (FSK)................................................................................... 178 7.3 PHASE SHIFT KEYING (PSK)............................................................................................... 187 7.4 DIFFERENTIAL PHASE SHIFT KEYING (DPSK)............................................................. 190 7.5 QUADRATURE AMPLITUDE MODULATION (QAM).................................................... 195 7.6 COMPARISON OF VARIOUS SIGNALINGS...................................................................... 200 Chapter 8: CARRIER RECOVERY AND SYMBOL SYNCHRONIZATION 227 8.1 INTRODUCTION..................................................................................................................... 227 8.2 PLL (PHSE-LOCKED LOOP)................................................................................................. 228 8.3 ESTIMATION OF CARRIER PHASE USING PLL............................................................. 233 8.4 CARRIER PHASE RECOVERY............................................................................................. 235 8.4.1 Carrier Phase Recovery Using a Squaring Loop for BPSK Signals.......................... 235 8.4.2 Carrier Phase Recovery Using Costas Loop for PSK Signals.................................... 237 8.4.3 Carrier Phase Recovery for QAM Signals.................................................................. 240 8.5 SYMBOL SYNCHRONIZATION (TIMING RECOVERY)................................................ 243 8.5.1 Early-Late Gate Timing Recovery for BPSK Signals................................................ 243 8.5.2 NDA-ELD Synchronizer for PSK Signals.................................................................. 246 Chapter 9: INFORMATION AND CODING 257 9.1 MEASURE OF INFORMATION - ENTROPY...................................................................... 257 9.2 SOURCE CODING................................................................................................................... 259 9.2.1 Huffman Coding............................................................................................................ 259 9.2.2 Lempel-Zip-Welch Coding........................................................................................... 262 9.2.3 Source Coding vs. Channel Coding............................................................................. 265 9.3 CHANNEL MODEL AND CHANNEL CAPACITY............................................................ 266 9.4 CHANNEL CODING................................................................................................................ 271 9.4.1 Waveform Coding......................................................................................................... 272 9.4.2 Linear Block Coding..................................................................................................... 273 9.4.3 Cyclic Coding................................................................................................................ 282 9.4.4 Convolutional Coding and Viterbi Decoding.............................................................. 287 9.4.5 Trellis-Coded Modulation (TCM)................................................................................ 296 9.4.6 Turbo Coding................................................................................................................. 300 9.4.7 Low-Density Parity-Check (LDPC) Coding............................................................... 311 9.4.8 Differential Space-Time Block Coding (DSTBC)...................................................... 316 9.5 CODING GAIN ....................................................................................................................... 319 Chapter 10: SPREAD-SPECTRUM SYSTEM 339 10.1 PN (Pseudo Noise) Sequence..................................................................................................... 339 10.2 DS-SS (Direct Sequence Spread Spectrum)............................................................................. 347 10.3 FH-SS (Frequency Hopping Spread Spectrum)........................................................................ 352 Chapter 11: OFDM SYSTEM 359 11.1 OVERVIEW OF OFDM......................................................................................................... 359 11.2 FREQUENCY BAND AND BANDWIDTH EFFICIENCY OF OFDM............................ 363 11.3 CARRIER RECOVERY AND SYMBOL SYNCHRONIZATION.......................................... 364 11.4 CHANNEL ESTIMATION AND EQUALIZATION.......................................................... 381 11.5 INTERLEAVING AND DEINTERLEAVING..................................................................... 384 11.6 PUNCTURING AND DEPUNCTURING............................................................................ 386 11.7 IEEE STANDARD 802.11A - 1999....................................................................................... 388
Modeling of Digital Communication Systems Using SIMULINK
| Author | : Arthur A. Giordano |
| Publisher | : John Wiley & Sons |
| Total Pages | : 403 |
| Release | : 2015-03-31 |
| Genre | : Technology & Engineering |
| ISBN | : 1118400054 |
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A comprehensive and detailed treatment of the program SIMULINK® that focuses on SIMULINK® for simulations in Digital and Wireless Communications Modeling of Digital Communication Systems Using SIMULINK® introduces the reader to SIMULINK®, an extension of the widely-used MATLAB modeling tool, and the use of SIMULINK® in modeling and simulating digital communication systems, including wireless communication systems. Readers will learn to model a wide selection of digital communications techniques and evaluate their performance for many important channel conditions. Modeling of Digital Communication Systems Using SIMULINK® is organized in two parts. The first addresses Simulink® models of digital communications systems using various modulation, coding, channel conditions and receiver processing techniques. The second part provides a collection of examples, including speech coding, interference cancellation, spread spectrum, adaptive signal processing, Kalman filtering and modulation and coding techniques currently implemented in mobile wireless systems. Covers case examples, progressing from basic to complex Provides applications for mobile communications, satellite communications, and fixed wireless systems that reveal the power of SIMULINK modeling Includes access to useable SIMULINK® simulations online All models in the text have been updated to R2018a; only problem sets require updating to the latest release by the user Covering both the use of SIMULINK® in digital communications and the complex aspects of wireless communication systems, Modeling of Digital Communication Systems UsingSIMULINK® is a great resource for both practicing engineers and students with MATLAB experience.
Wireless Communication Systems in Matlab
| Author | : Mathuranathan Viswanathan |
| Publisher | : |
| Total Pages | : 384 |
| Release | : 2020-06-08 |
| Genre | : |
| ISBN | : |
Download Wireless Communication Systems in Matlab Book in PDF, ePub and Kindle
* A learner-friendly, practical and example driven book, Wireless Communication Systems in Matlab gives you a solid background in building simulation models for wireless systems in Matlab. This book, an essential guide for understanding the basic implementation aspects of a wireless system, shows how to simulate and model such a system from scratch. The implemented simulation models shown in this book, provide an opportunity for an engineer to understand the basic implementation aspects of modeling various building blocks of a wireless communication system. It presents the following key topics with the required theoretical background, along with the implementation details in the form of Matlab scripts. * Random variables for simulating probabilistic systems and applications like Jakes filter design and colored noise generation. * Models for Shannon's channel capacity, unconstrained awgn channel, binary symmetric channel (BSC), binary erasure channel (BEC), constellation constrained capacities and ergodic capacity over fading channel. The theory of linear block codes, decoding techniques using soft-decisions and hard-decisions, and their performance simulations. * Monte Carlo simulation for ascertaining performance of digital modulation techniques in AWGN and fading channels - Eb/N0 Vs BER curves. Pulse shaping techniques, matched filtering and partial response signaling, Design and implementation of linear equalizers - zero forcing and MMSE equalizers, using them in a communication link and modulation systems with receiver impairments. * Large-scale propagation models like Friis free space model, log distance model, two ray ground reflection model, single knife-edge diffraction model, Hata Okumura model. * Essentials of small-scale propagation models for wireless channels, such as, power delay profile, Doppler power spectrum, Rayleigh and Rice processes. Modeling flat fading and frequency selective channels. * Diversity techniques for multiple antenna systems: Alamouti space-time coding, maximum ratio combining, equal gain combining and selection combining. * Simulation models for direct sequence spread spectrum, frequency hopping spread spectrum and OFDM.
Digital Modulations Using Python
| Author | : Mathuranathan Viswanathan |
| Publisher | : |
| Total Pages | : 218 |
| Release | : 2019-12-02 |
| Genre | : |
| ISBN | : 9781712342749 |
Download Digital Modulations Using Python Book in PDF, ePub and Kindle
This paperback is a black & white edition. Link to the color edition: https: //www.amazon.com/dp/1712321633 . A learner-friendly, practical and example driven book, Digital Modulations using Python gives you a solid background in building simulation models for digital modulation systems in Python version 3. This book, an essential guide for understanding the implementation aspects of a digital modulation system, shows how to simulate and model a digital modulation system from scratch. The implemented simulation models shown in this book, provide an opportunity for an engineer to understand the basic implementation aspects of modeling various building blocks of a digital modulation system. It presents the key topics with required theoretical background along with the implementation details in the form of Python scripts. Key topics: ► Basics of signal processing, essential for implementing digital modulation techniques - generation of test signals, interpreting FFT results, power and energy of a signal, methods to compute convolution, analytic signal and applications. ► Waveform and complex baseband equivalent simulation models. ► Digital modulation techniques covered: BPSK and its variants, QPSK and its variants, M-ary PSK, M-ary QAM, M-ary PAM, CPM, MSK, GMSK, M-ary FSK. ► Simulation for ascertaining performance of digital modulation techniques in AWGN and fading channels - Eb/N0 Vs BER curves. ► Design and implementation of linear equalizers - zero forcing and MMSE equalizers, using them in a communication link, LMS algorithm for adaptive equalization. ► Simulation and performance of modulation systems with receiver impairments. ► Examples using object oriented programming. ► Simulation scripts using SciPy, Numpy and Matplotlib packages.
Software-Defined Radio for Engineers
| Author | : Alexander M. Wyglinski |
| Publisher | : Artech House |
| Total Pages | : 378 |
| Release | : 2018-04-30 |
| Genre | : Technology & Engineering |
| ISBN | : 1630814598 |
Download Software-Defined Radio for Engineers Book in PDF, ePub and Kindle
Based on the popular Artech House classic, Digital Communication Systems Engineering with Software-Defined Radio, this book provides a practical approach to quickly learning the software-defined radio (SDR) concepts needed for work in the field. This up-to-date volume guides readers on how to quickly prototype wireless designs using SDR for real-world testing and experimentation. This book explores advanced wireless communication techniques such as OFDM, LTE, WLA, and hardware targeting. Readers will gain an understanding of the core concepts behind wireless hardware, such as the radio frequency front-end, analog-to-digital and digital-to-analog converters, as well as various processing technologies. Moreover, this volume includes chapters on timing estimation, matched filtering, frame synchronization message decoding, and source coding. The orthogonal frequency division multiplexing is explained and details about HDL code generation and deployment are provided. The book concludes with coverage of the WLAN toolbox with OFDM beacon reception and the LTE toolbox with downlink reception. Multiple case studies are provided throughout the book. Both MATLAB and Simulink source code are included to assist readers with their projects in the field.
Digital Signal Processing Using MATLAB for Students and Researchers
| Author | : John W. Leis |
| Publisher | : John Wiley & Sons |
| Total Pages | : 352 |
| Release | : 2011-10-14 |
| Genre | : Science |
| ISBN | : 1118033809 |
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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.
Digital Communication Systems Using MATLAB and Simulink
| Author | : Dennis Silage |
| Publisher | : Bookstand Pub |
| Total Pages | : 187 |
| Release | : 2009 |
| Genre | : Computers |
| ISBN | : 9781589096219 |
Download Digital Communication Systems Using MATLAB and Simulink Book in PDF, ePub and Kindle
Digital Communication using MATLAB and Simulink is intended for a broad audience. For the student taking a traditional course, the text provides simulations of the MATLAB and Simulink systems, and the opportunity to go beyond the lecture or laboratory and develop investigations and projects. For the professional, the text facilitates an expansive review of and experience with the tenets of digital communication systems.
Wireless Communication Systems in Matlab
| Author | : Mathuranathan Viswanathan |
| Publisher | : |
| Total Pages | : 384 |
| Release | : 2020-06-08 |
| Genre | : |
| ISBN | : |
Download Wireless Communication Systems in Matlab Book in PDF, ePub and Kindle
* A learner-friendly, practical and example driven book, Wireless Communication Systems in Matlab gives you a solid background in building simulation models for wireless systems in Matlab. This book, an essential guide for understanding the basic implementation aspects of a wireless system, shows how to simulate and model such a system from scratch. The implemented simulation models shown in this book, provide an opportunity for an engineer to understand the basic implementation aspects of modeling various building blocks of a wireless communication system. It presents the following key topics with the required theoretical background, along with the implementation details in the form of Matlab scripts. * Random variables for simulating probabilistic systems and applications like Jakes filter design and colored noise generation. * Models for Shannon's channel capacity, unconstrained awgn channel, binary symmetric channel (BSC), binary erasure channel (BEC), constellation constrained capacities and ergodic capacity over fading channel. The theory of linear block codes, decoding techniques using soft-decisions and hard-decisions, and their performance simulations. * Monte Carlo simulation for ascertaining performance of digital modulation techniques in AWGN and fading channels - Eb/N0 Vs BER curves. Pulse shaping techniques, matched filtering and partial response signaling, Design and implementation of linear equalizers - zero forcing and MMSE equalizers, using them in a communication link and modulation systems with receiver impairments. * Large-scale propagation models like Friis free space model, log distance model, two ray ground reflection model, single knife-edge diffraction model, Hata Okumura model. * Essentials of small-scale propagation models for wireless channels, such as, power delay profile, Doppler power spectrum, Rayleigh and Rice processes. Modeling flat fading and frequency selective channels. * Diversity techniques for multiple antenna systems: Alamouti space-time coding, maximum ratio combining, equal gain combining and selection combining. * Simulation models for direct sequence spread spectrum, frequency hopping spread spectrum and OFDM.
