Скачать с ютуб Designing Multifunction Radars with MATLAB and Simulink в хорошем качестве

Designing Multifunction Radars with MATLAB and Simulink

Multifunction radar system design spans a range of tasks starting with requirements analysis. Once requirements are understood, the process moves to design and implementation, integration, and testing, and eventually to field data analysis. In this session, we will show how you can integrate these tasks using modeling and simulation tools. The related workflows can be applied to airborne, ground-based, shipborne, and space-based radar systems. We will start with the requirements analysis work and translate the results into designs that can be simulated with probabilistic models and I/Q signal level models. We will show how these modeling options help you pick the right level of fidelity for the project phase you are working on. You will learn how synthesised radar data can be used to improve your design choices, how design models can be shared across organisations, and how testing data can be used to shorten integration cycles. You will also learn how to: • Perform link budget analysis and evaluate design trade-offs interactively with the Radar Designer app • Model complex, multi-target scenarios including the effects of the environment and land and sea clutter • Integrate signal and data processing including multi-object trackers to process radar data • Apply deep learning techniques for tasks including beamforming, target and signal classification, and spectrum sensing • Generate code for your spatial signal processing algorithms and trackers Meet the Speaker Rick Gentile focuses on radar and sensor fusion applications at MathWorks. Prior to joining MathWorks, Rick was a Systems Engineer at MITRE and MIT Lincoln Laboratory where he worked on the development of radar systems. Rick also was a DSP Applications Engineer at Analog Devices where he led embedded processor and system level architecture definitions for high performance signal processing systems. Rick co-authored the text “Embedded Media Processing”. He received a B.S. in Electrical and Computer Engineering from the University of Massachusetts, Amherst and an M.S. in Electrical and Computer Engineering from Northeastern University, where his focus areas of study included Microwave Engineering, Communications and Signal Processing.