Join one or more of the 90-minute MathWorks hands-on workshops on Tuesday, Wednesday, and Thursday (September 15, 16, 17) at the European Microwave Week.
Topics include: using MATLAB® for designing and testing 5G and WLAN systems, antenna and antenna array design and optimization for radar applications, modeling RF propagation effects in urban scenarios, using Software Defined Radios (SDR) for rapid prototyping and over-the-air testing, plus lots more! These workshops do not require familiarity with MATLAB. Bring your own laptop to get a hands-on experience and rapidly get started under the supervision of MathWorks experts.
These workshops are free to attend for everyone who has registered for European Microwave Week.
- 5G, LTE, WLAN, and Bluetooth Wireless Standards Made Easy
- AI Driven Antenna Optimization and Platform Integration
- RF Propagation and Ray Tracing in Urban Scenarios
- Modeling Tracking Scenarios and Simulating Radar Detections
|September 15||5G, LTE, WLAN, and Bluetooth Wireless Standards Made Easy||10.00-11.30|
|September 15||Modeling the RF Frontend of a Wireless System||13.00-14.30|
|September 15||Masterclass: Testing Your Software Defined Radio Algorithm on Real Hardware||15.00-16.30|
|September 16||Antenna and Antenna Array Design and Prototyping Using MATLAB®||10.00-11.30|
|September 16||AI Driven Antenna Optimization and Platform Integration||13.00-14.30|
|September 16||RF Propagation and Ray Tracing||15.00-16.30|
|September 17||Introduction to Radar System Simulation||10.00-11.30|
|September 17||Modeling Tracking Scenarios and Simulating Radar Detections||13.00-14.30|
|September 17||Machine Learning & Deep Learning Applied to Radar Target Classification||15.00-16.30|
Tuesday September 15 – 10.00h – 11.30h
5G, LTE, WLAN, and Bluetooth Wireless Standards Made Easy
Wireless engineers are pursuing 5G and other advanced wireless standards such as LTE, WLAN, and Bluetooth to achieve gigabit data rates, ubiquitous coverage, and massive connectivity for applications such as IoT and V2X. Implementing the physical layer specifications of these standards requires standard-specific knowledge and domain expertise. In this workshop, we will demonstrate the physical layer implementations provided by MathWorks products and, via examples, you will easily generate waveforms and run end-to-end link level simulations to measure throughput, EVM, and ACLR performance.
Tuesday September 15 – 13.00h – 14.30h
Modeling the RF Frontend of a Wireless System
In modern wireless systems, RF impairments could have a large effect on the system performance. It is important to evaluate the performance of digital and analog components together to ensure that they meet the requirements. In this workshop, we look at how the digital physical layer can be modelled in tandem with imperfect, analog RF components and physical antenna arrays. We will also demonstrate how RF fingerprinting is used in a deep learning network to distinguish devices.
Tuesday September 15 – 15.00h – 16.30h
Masterclass: Testing Your Software Defined Radio Algorithm on Real Hardware
Over-the-air (OTA) testing using off-the-shelf SDRs and rapid prototyping targeting FPGAs or SoCs are key phases in the development of new wireless communication systems. In this masterclass, we will demonstrate how your SDR algorithm can be deployed to a prototyping platform using HDL and C code generation to run in real-time with OTA data.
Wednesday September 16 – 10.00h – 11.30h
Antenna and Antenna Array Design and Prototyping Using MATLAB®
Antenna and antenna array design is a complex task that requires in-depth expertise. Antennas are becoming increasingly more complex in m-MIMO systems and multi-function radars. In this workshop, you will learn how MATLAB® can simplify solving the antenna problem. You don’t need to be an EM expert to analyze the antenna, visualize and interactively inspect antenna and array impedance, current, and radiation pattern, and fabricate the antenna on a PCB.
Wednesday September 16 – 13.00h – 14.30h
AI Driven Antenna Optimization and Platform Integration
Optimize antennas and arrays using machine learning and surrogate optimization methods for maximum directivity, bandwidth, area or other objectives while considering constraints and boundary conditions. Install the antenna on a large platform such as an airplane or a car. Practical demonstrations show how to easily import the description of an arbitrary installation platform using CAD formats such as STL files and analyze its effects on the antenna performance, and extend this approach for the computation of the radar cross section (RCS).
Wednesday September 16 – 15.00h – 16.30h
RF Propagation and Ray Tracing
The analysis of RF propagation effects for wireless communications and for radar systems requires an in-depth understanding of the antenna interactions with the environment. Learn how to determine coverage and communication links performance with MATLAB. Position an antenna array on a 3D map, use different propagation models, and account for terrain elevation and atmospheric conditions. Use beamforming to improve coverage and establish transmitter-receiver links at mmWave frequencies. Learn how ray tracing algorithms can help you with analyzing urban scenarios for 5G applications while including the impact of buildings.
Thursday September 17 – 10.00h – 11.30h
Introduction to Radar System Simulation
Learn the fundamentals about radar systems design and analysis including waveform generation, target detection, beamforming, and space-time adaptive processing. Use modelling and simulation techniques that include antenna through detections to model a complete radar system. Hands on exercises will show how to implement an end-to-end simulation for a monostatic pulsed radar.
Thursday September 17 – 13.00h – 14.30h
Modeling Tracking Scenarios and Simulating Radar Detections
During this session, we will focus on the design of complex scenarios and sensors simulation required for autonomous system design and validation. The ability to create rare and potentially dangerous events to test autonomous systems and sensor fusion algorithms is a must and tools to facilitate this task can save precious time during development. This workshop covers the entire workflow and we will see how to generate synthetic data, create synthetic scenarios, simulate complex trajectories, model radar detections, fuse data from multiple sensors and most importantly evaluate your tracking algorithm using common metrics.
Thursday September 17 – 15.00h – 16.30h
Machine Learning & Deep Learning Applied to Radar Target Classification
Machine learning and deep learning are major trends in the electronics industry and their applications have become widespread. In this workshop, we will focus on radar target classification using these artificial intelligence techniques. We will introduce synthetic signals generation and address the need for data labelling to create datasets that can be used to train and verify classification models. Then, we will address the main differences between machine learning and deep learning and will discuss techniques such as wavelet processing for efficient features extraction before dealing with performances analysis and optimizations. Finally, performances of different machine learning and deep learning algorithms will be compared.