Problem-Based Learning in Communication Systems Using MATLAB and Simulink
Inbunden, Engelska, 2016
1 909 kr
Produktinformation
- Utgivningsdatum2016-04-15
- Mått160 x 236 x 31 mm
- Vikt803 g
- FormatInbunden
- SpråkEngelska
- SerieIEEE Series on Digital & Mobile Communication
- Antal sidor400
- FörlagJohn Wiley & Sons Inc
- ISBN9781119060345
Tillhör följande kategorier
Kwonhue Choi is a Professor in the Department of Information and Communication Engineering and the Principal Director of Broadband Wireless Communication (BWC) Laboratory at Yeungnam University, Korea. His research areas include efficient multiple access, diversity schemes, and cooperative communications for Fifth-Generation (5G) and beyond systems. He is the inventor of FADAC-OFDM and PSW (Properly scrambled Walsh) codes.Huaping Liu is a Professor with the School of Electrical Engineering and Computer Science at Oregon State University, USA. He was formerly a cellular network radio frequency systems engineer specializing on modeling, simulating, optimizing, and testing various digital communication systems. Dr. Liu received his PhD in Electrical Engineering at New Jersey Institute of Technology, USA.
- Preface xiiiAcknowledgments xviiNotation and List of Symbols xixList of Acronyms xxiContent-Mapping Table with Major Existing Textbooks xxiiiLab Class Assignment Guide xxvAbout the Companion Website xxvii1 MATLAB and Simulink Basics 11.1 Operating on Variables and Plotting Graphs in MATLAB 11.2 Using Symbolic Math 31.3 Creating and Using a Script File (m-File) 41.4 [A]User-Defined MATLAB Function 71.5 Designing a Simple Simulink File 81.6 Creating a Subsystem Block 122 Numerical Integration and Orthogonal Expansion 162.1 Simple Numerical Integration 162.2 Orthogonal Expansion 18References 233 Fourier Series and Frequency Transfer Function 243.1 Designing the Extended Fourier Series System 243.2 Frequency Transfer Function of Linear Systems 253.3 Verification of the Frequency Transfer Function of Linear Systems in Simulink 273.4 Steady-State Response of a Linear Filter to a Periodic Input Signal 29References 314 Fourier Transform 334.1 The Spectrum of Sinusoidal Signals 334.2 The Spectrum of Any General Periodic Functions 364.3 Analysis and Test of the Spectra of Periodic Functions 374.4 Spectrum of a Nonperiodic Audio Signal 40References 445 Convolution 455.1 Sampled Time-Limited Functions 455.2 Time-Domain View of Convolution 485.3 Convolution with the Impulse Function 505.4 Frequency-Domain View of Convolution 51Reference 546 Low Pass Filter and Band Pass Filter Design 556.1 [T]Analysis of the Spectrum of Sample Audio Signals 556.2 Low Pass Filter Design 576.3 LPF Operation 616.4 [A]Band Pass Filter Design 63Reference 657 Sampling and Reconstruction 667.1 Customizing the Analog Filter Design Block to Design an LPF 667.2 Storing and Playing Sound Data 677.3 Sampling and Signal Reconstruction Systems 687.4 Frequency Up-Conversion without Resorting to Mixing with a Sinusoid 75References 778 Correlation and Spectral Density 788.1 Generation of Pulse Signals 788.2 Correlation Function 798.3 Energy Spectral Density 87References 899 Amplitude Modulation 909.1 Modulation and Demodulation of Double Sideband-Suppressed Carrier Signals 909.2 Effects of the Local Carrier Phase and Frequency Errors on Demodulation Performance 959.3 [A]Design of an AM Transmitter and Receiver without Using an Oscillator to Generate the Sinusoidal Signal 98Reference 10010 Quadrature Multiplexing and Frequency Division Multiplexing 10110.1 Quadrature Multiplexing and Frequency Division Multiplexing Signals and Their Spectra 10110.2 Demodulator Design 10410.3 Effects of Phase and Frequency Errors in QM Systems 105Reference 10811 Hilbert Transform, Analytic Signal, and SSB Modulation 10911.1 Hilbert Transform, Analytic Signal, and Single-Side Band Modulation 10911.2 Generation of Analytic Signals Using the Hilbert Transform 11111.3 Generation and Spectra of Analytic and Single-Side Band Modulated Signals 11411.4 Implementation of an SSB Modulation and Demodulation System Using a Band Pass Filter 117References 12212 Voltage-Controlled Oscillator and Frequency Modulation 12312.1 [A]Impact of Signal Clipping in Amplitude Modulation Systems 12312.2 Operation of the Voltage-Controlled Oscillator and Its Use in an FM Transmitter 12612.3 Implementation of Narrowband FM 130References 13413 Phase-Locked Loop and Synchronization 13513.1 Phase-Locked Loop Design 13513.2 FM Receiver Design Using the PLL 14213.3 [A]Data Transmission from a Mobile Phone to a PC over the Near-Ultrasonic Wireless Channel 146References 15014 Probability and Random Variables 15114.1 Empirical Probability Density Function of Uniform Random Variables 15114.2 Theoretical PDF of Gaussian Random Variables 15214.3 Empirical PDF of Gaussian RVs 15314.4 Generating Gaussian RVs with Any Mean and Variance 15514.5 Verifying the Mean and Variance of the RV Represented by MATLAB Function randn() 15514.6 Calculation of Mean and Variance Using Numerical Integration 15614.7 [A]Rayleigh Distribution 158References 15915 Random Signals 16015.1 Integration of Gaussian Distribution and the Q-Function 16015.2 Properties of Independent Random Variables and Characteristics of Gaussian Variables 16215.3 Central Limit Theory 16515.4 Gaussian Random Process and Autocorrelation Function 168References 17316 Maximum Likelihood Detection for Binary Transmission 17416.1 Likelihood Function and Maximum Likelihood Detection over an Additive White Gaussian Noise Channel 17416.2 BER Simulation of Binary Communications over an AWGN Channel 17816.3 [A]ML Detection in Non-Gaussian Noise Environments 182References 18317 Signal Vector Space and Maximum Likelihood Detection I 18417.1 [T]Orthogonal Signal Set 18417.2 [T]Maximum Likelihood Detection in the Vector Space 18517.3 MATLAB Coding for MLD in the Vector Space 18717.4 MLD in the Waveform Domain 189References 19118 Signal Vector Space and Maximum Likelihood Detection II 19218.1 Analyzing How the Received Signal Samples are Generated 19218.2 Observing the Waveforms of 4-Ary Symbols and the Received Signal 19518.3 Maximum Likelihood Detection in the Vector Space 19619 Correlator-Based Maximum Likelihood Detection 20019.1 Statistical Characteristics of Additive White Gaussian Noise in the Vector Space 20019.2 Correlation-Based Maximum Likelihood Detection 205Reference 20820 Pulse Shaping and Matched Filter 20920.1 [T]Raised Cosine Pulses 20920.2 Pulse Shaping and Eye Diagram 21020.3 Eye Diagram after Matched Filtering 21620.4 Generating an Actual Electric Signal and Viewing the Eye Diagram in an Oscilloscope 218References 22321 BER Simulation at the Waveform Level 22421.1 EB/N0 Setting in Baseband BPSK Simulation 22421.2 Matched Filter and Decision Variables 22821.3 Completing the Loop for BER Simulation 23021.4 [A]Effects of the Roll-off Factor on BER Performance When There is a Symbol Timing Error 23421.5 Passband BPSK BER Simulation and Effects of Carrier Phase Errors 235Reference 23822 QPSK and Offset QPSK in Simulink 23922.1 Characteristics of QPSK Signals 23922.2 Implementation of the QPSK Transmitter 24122.3 Implementation of the QPSK Receiver 24322.4 SNR Setting, Constellation Diagram, and Phase Error 24522.5 BER Simulation in Simulink Using a Built-in Function sim( ) 24722.6 Pulse Shaping and Instantaneous Signal Amplitude 24922.7 Offset QPSK 252References 25323 Quadrature Amplitude Modulation in Simulink 25423.1 Checking the Bit Mapping of Simulink QAM Modulator 25423.2 Received QAM Signal in AWGN 25823.3 Design of QAM Demodulator 26023.4 BER Simulation 26223.5 Observing QAM Signal Trajectory Using an Oscilloscope 266References 26824 Convolutional Code 26924.1 Encoding Algorithm 26924.2 Implementation of Maximum Likelihood Decoding Based on Exhaustive Search 27324.3 Viterbi Decoding (Trellis-Based ML Decoding) 27724.4 BER Simulation of Coded Systems 284References 28725 Fading Diversity and Combining 28925.1 Rayleigh Fading Channel Model and the Average BER 28925.2 BER Simulation in the Rayleigh Fading Environment 29225.3 Diversity 29525.4 Combining Methods 296References 30026 Orthogonal Frequency Division Multiplexing in AWGN Channels 30226.1 Orthogonal Complex Sinusoid 30226.2 Generation of Orthogonal Frequency Division Multiplexing Signals 30326.3 Bandwidth Efficiency of OFDM Signals 30626.4 Demodulation of OFDM Signals 30726.5 BER Simulation of OFDM Systems 307References 31027 Orthogonal Frequency Division Multiplexing over Multipath Fading Channels 31127.1 Multipath Fading Channels 31127.2 Guard Interval, CP, and Channel Estimation 31427.3 BER Simulation of OFDM Systems over Multipath Fading Channels 319References 32328 MIMO System—Part I: Space Time Code 32428.1 System Model 32428.2 Alamouti Code 32728.3 Simple Detection of Alamouti Code 33028.4 [A]Various STBCs, Their Diversity Orders, and Their Rates 334References 33529 MIMO System—Part II: Spatial Multiplexing 33629.1 MIMO for Spatial Multiplexing 33629.2 MLD Based on Exhaustive Search for SM MIMO 33729.3 Zero Forcing Detection 34029.4 Noise Enhancement of ZF Detection 34129.5 Successive Interference Cancellation Detection 34329.6 BER Simulation of ZF, SIC, OSIC, and ML Detection Schemes 34729.7 Relationship among the Number of Antennas Diversity and Data Rate 350References 35230 Near-Ultrasonic Wireless Orthogonal Frequency Division Multiplexing Modem Design 35330.1 Image File Transmission over a Near-Ultrasonic Wireless Channel 35330.2 Analysis of OFDM Transmitter Algorithms and the Transmitted Signals 35530.3 Analysis of OFDM Receiver Algorithms and the Received Signals 35730.4 Effects of System Parameters on the Performance 361Index 363
Du kanske också är intresserad av
Mobile Ad Hoc Networking
Stefano Basagni, Marco Conti, Silvia Giordano, Ivan Stojmenovic, USA) Basagni, Stefano (Northeastern University, MA, Italy) Conti, Marco (Instituto, IIT, Silvia (University of Applied Science-SUPSI-Switzerland) Giordano, Mexico) Stojmenovic, Ivan (DISCA, IIMAS, Universidad Nacional Autonoma de Mexico, Mexico D.F.
2 489 kr