Wireless Digital Communications And Signal Processing

Modulation, coding, pulse shaping, signal estimation, channel modeling

What you'll learn

Understand the principles of wireless signal transmission

Apply channel models, pulse shaping, multi-level modulation, and digital coding in wireless systems

Learn equalization techniques, matched filtering, and spectral estimation

Design and optimize digital beamforming and multiple antenna systems

Review multicarrier systems and estimate the impact of frequency offset

Requirements

A background in wireless communications and digital signal processing

Description

Wireless networks have expanded beyond person-to-person communications, connecting not only users but also machines, devices, and objects. This course will cover the fundamental principles of wireless digital communications and describe the role of digital signal processing in driving wireless communications technologies. Participants will learn how to analyze the performance of digital modulation techniques such as quadrature amplitude modulation (QAM) and apply them in modern wireless systems. High-order modulation (such as 256-QAM, 1024-QAM) achieves greater spectral efficiency, thus leading to higher data rates. They form the basis of current and emerging wireless standards (such as 5G and Wi-Fi). By changing the modulation and coding, the available data rate and robustness of the wireless signal can be adapted to deployment conditions. The Nyquist Theorem allows bandlimited continuous-time signals to be represented by their discrete-time samples. Consequently, a wireless communications system, including channel impairments like multipath fading and noise, can be analyzed in terms of their discrete-time equivalents. Linear time-invariant systems, which are characterized by convolution with an impulse response, can be used to model wireless channels. Deconvolution can be used to equalize the effects of the channel. Upsampling, downsampling, and multirate signal processing allow efficient implementation of pulse shaping at the transmitter and matched filtering at the receiver. This course will present many DSP tools that are relevant to wireless system design, analysis, and optimization. Other practical topics are multiple antenna signal processing (transmit beamforming, spatial multiplexing, and space-time coding), noise-shaping modulation, advanced data converters, fractional-N phase-locked loops, sampling receivers, N-path filters, and pre-distortion linearization.

Overview

Section 1: Introduction

Lecture 1 Introduction

Section 2: Channel Models, Modulation, Link Adaptation

Lecture 2 Channel Models, Modulation, Link Adaptation

Section 3: Binary Communications, Entropy, Shannon Capacity

Lecture 3 Binary Communications, Entropy, Shannon Capacity

Section 4: Sampling Theorem, Quantization, Pulse Shaping, Multi-level Modulation

Lecture 4 Sampling Theorem, Quantization, Pulse Shaping, Multi-level Modulation

Section 5: Power Spectral Analysis and Error Performance for QAM

Lecture 5 Power Spectral Analysis and Error Performance for QAM

Section 6: Error-Control Coding and Error Performance

Lecture 6 Error-Control Coding and Error Performance

Section 7: Signal Estimation and Noise in Digital Communications

Lecture 7 Signal Estimation and Noise in Digital Communications

Section 8: Multiple Access Communications

Lecture 8 Multiple Access Communications

Section 9: Wireless Communications System

Lecture 9 Wireless Communications System

Section 10: Nyquist Sampling Theorem and Bandlimited Signals

Lecture 10 Nyquist Sampling Theorem and Bandlimited Signals

Section 11: Baseband Equivalent Channel and Digital Modulation

Lecture 11 Baseband Equivalent Channel and Digital Modulation

Section 12: Matched Filters and Symbol Synchronization

Lecture 12 Matched Filters and Symbol Synchronization

Lecture 13 Matched Filter Demo

Lecture 0 Equalization and Frequency Offset Estimation

Lecture 0 Wireless Channel Modeling and Velocity Measurement

Section 13: Delta-Sigma Modulators, Noise Shaping, Direct Sampling, Power Amplifier Lineariz

Lecture 14 Delta-Sigma Modulators, Noise Shaping, Direct Sampling, Power Amplifier Lineariz

Wireless signal processing engineers