The advent of digital computers and the availability of ever cheaper and faster micro processors have brought a tremendous amount of control system applications to the automotive industry in the last two decades. From engine and transmission systems, to virtually all chassis subsystems (brakes, suspensions, and steering), some level of computer control is present. Control systems theory is also being applied to comfort systems such as climate control and safety systems such as cruise control or collision mitigation systems.
This introduction to radar focuses on understanding how radars work and the trade offs that must be made to achieve its specified performance, focusing on applications to automotive safety and autonomy. The class includes demonstrations of radar signal outputs and describes the chain of hardware and software processing found in most radar systems. Participants will be exposed to all aspects of radar design at a level detailed enough to understand system engineering estimates for the major functions by examining the basic functions of radars, from the waveform generation in the transmitter, all the way to target detection in the receiver.
Most complex systems are moving toward a “smart” solution, with automated methods for identifying and diagnosing problems. This course will explore how efficient systems can be designed in an effective manner to ensure that they meet performance requirements. Because predictive maintenance is important to the aerospace industry, this course will address systems engineering (SE) and review prognostic health management (PHM) and explain how you can utilize them to obtain a better system. Additionally, it will address requirements management; model-based design; and verification and validation