Coronavirus Disease 2019 (COVID-19) Update

Due to heightened concerns regarding the outbreak of COVID-19, we are adding more instructor-led online training courses as an alternative to classroom courses.

Course Schedule

Prerequisites

MATLAB^® Fundamentals and knowledge of digital communications systems

Wireless Communications Systems Design with MATLAB and USRP Software-Defined Radios

This two-day course shows how to design and simulate single- and multi-carrier digital communications systems using MATLAB^®. Multi-antenna and turbo-coded communication systems are introduced, and different channel impairments and their modeling are demonstrated. Components from LTE and IEEE 802.11 systems will be used as examples. The instructor will demonstrate a radio-in-the-loop system using real-time hardware (RTL-SDR and USRP^®).

The target audience for this course includes system engineers and RF engineers who need a fast ramp-up on modern communication techniques and the radio-in-the-loop workflow.

See detailed course outline

Prerequisites

MATLAB^® Fundamentals and knowledge of digital communications systems

Day 1 of 2
Communication over a Noiseless Channel	Objective: Modeling an ideal single-carrier communications system and becoming familiar with System objects. Sampling theorem and aliasing Using complex baseband versus real passband simulation Creating a random bit stream Discovering System objects and their benefits Modulating a bit stream using QPSK Applying pulse-shaping to the transmitted signal Using eye diagrams and spectral analysis Modeling a QPSK receiver for a noiseless channel Computing bit error rate
Noisy Channels, Channel Coding, and Error Rates	Objective: Modeling an AWGN channel. Using convolutional, LDPC, and turbo codes to reduce bit error rate. Error correcting codes from DVB-S.2 and LTE systems are used as examples. Accelerating simulations using multiple cores. Modeling an AWGN channel Using channel coding and decoding: convolutional, LDPC, and turbo codes Decoding using Trellis diagram and Viterbi algorithm Using Parallel Computing Toolbox to accelerate Monte Carlo simulations Discussion of alternative acceleration methods: GPUs, MATLAB Distributed Computing Server^™, Cloud Center
Timing and Frequency Errors and Multipath Channels	Objective: Modeling frequency offset, timing jitter errors, and mitigation using frequency and timing synchronization techniques. Modeling flat fading, multipath channels, and mitigation using equalizers. Modeling phase and timing offsets Mitigating frequency offset using a PLL Mitigating timing jitter using Gardner timing synchronization Modeling flat fading channels Using training sequences for channel estimation Modeling frequency selective fading channels Using Viterbi equalizers for time-invariant channels and LMS linear equalizers for time-varying channels Demonstration of a real-time demodulation of single-carrier broadcast using RTL-SDR

Day 2 of 2
Multicarrier Communications Systems for Multipath Channels	Objective: Understanding motivation for multicarrier communications systems for frequency selective channels. Modeling an OFDM transceiver with a cyclic prefix and windowing. System parameter values from IEEE 802.11ac and LTE will be used. Motivation for multicarrier communications Introduction to Orthogonal Frequency Division Multiplexing (OFDM) OFDM symbol generation using the IFFT Inter-block interference prevention using a cyclic prefix Reduction of out-of-band emissions using windowing Advantages and disadvantages of OFDM Timing and frequency recovery methods for OFDM Channel estimation using pilot symbols Frequency domain equalization
Using Multiple Antennas for Robustness and Capacity Gains	Objective: Understanding alternative multiple antenna communications system. Modeling beamforming, diversity, and spatial multiplexing systems. Constructing a MIMO-OFDM system for wideband communications. MIMO modes of IEEE 802.11ac and LTE will be discussed. Advantages and types of multi-antenna systems Transmit and receive beamforming Receive diversity techniques Transmit diversity using orthogonal space-time block codes Narrowband multiple input-multiple output (MIMO) channel model MIMO channel estimation Spatial multiplexing using ZF and MMSE equalization Wideband communications using an MIMO-OFDM system
Building a Radio-in-the-Loop System	Objective: Understanding the radio-in-the-loop development workflow. Using RTL-SDRs and USRPs as radio-in-the-loop development platforms. Overview of the radio-in-the-loop workflow MathWorks communications hardware support (RTL-SDR, USRP, Zynq^®-Based Radio) Hardware alternative comparison (pros/cons table) Different RIL transmit and receive modes (single burst, looped, streamed) Creation of an end-to-end single-antenna multicarrier communications system using a USRP Demonstration of a 2x2 OFDM-MIMO over-the-air system using USRPs

Guaranteed to Run

When you register for one of these courses, you can rely on the fact that it won't be canceled or rescheduled for any reason.

Course Schedule

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Dates	Location	Language	Price	Register
09 sep 2020- 10 sep 2020	Online 9:00 a.m. - 5:00 p.m. US Eastern Daylight Time	English	USD 1,500

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The pricing applies for purchase and use in United States, For pricing in other regions Contact Sales. The product price does not include sales, use, excise, value-added, or other taxes. Any applicable taxes, duties, levies, assessments and governmental charges payable in connection with this purchase will be assessed on the order. Refer to Training Policies for more information