![]() If I look at the raw signal, I see this is the theoretical location of the target. OK, here is the scenario, and here are the four different outputs. Now I already have the results in my file, in my Power Point presentation. Now if I click on Run, I see the results. Two and four are the Angle-Doppler responses of before and after. If I click on it, number one is the raw data. Now from the signal processing unit, it goes into Visualization. One of them is the raw signal itself, and three are processed using the appropriate signal processing algorithms. The raw signal goes into four different paths. All of them are pretty much the same, except for the signal processing unit. So it doesn't have all the options available for RF impairments, but we will show that later. This particular Transmitter is a linear Transmitter. By the way, we will cover all of these in details later on in this webinar. Among them are the pulse widths, number of pulses, and so on. If I click on it, I see the parameters that I can change. Now let's look at these and get an overview of what all of these blocks do. From the signal processing unit, they go into the visualizations box. They all go into the receiver, and then onto the signal processing unit. This is the free space channel for the jammer, and this is how we model the clutter. The target, this is where we can change the velocity and position of the target. I have a Waveform, Transmitter, Transmit Array, free space channel, this is how we model the propagation in free space. It is to note that a MATLAB program can be written that does the exact same thing. The appropriate Simulink file will be shown next. The wooded area is modeled with a gamma clutter of -15 dB. On ground level, there's a target moving away from it. Directly opposite to it, at 2 km away, there's a jammer. We have the radar moving in the y-direction at this speed, 224 m/s. The scenario of the example that we will discuss is as shown in this slide. Here different signal processing techniques separate the desired from the undesired signals and gets displayed using a variety of visual aid tools. So the transmit and the receive are the same. In our case, we have a mono-static radar. The return signal is collected at the receive antenna. ![]() Along with desired signal, we might have interference and return from unwanted objects.It hits the target and comes back to the radar.As the signal propagates, it experiences different environmental effects, like rain and fog.Feeding it into the transmitter to amplify it.The most elementary functions of a radar system start with These examples can often be used as a starter to most practical applications. When all is done, we'll navigate the Help menu and show how to pick and access examples from over 120 examples in our documentation menu.And finally, we'll finish with the signal processing techniques leading to detection and visualization.Next, we'll show options for modeling environmental effects, targets, and interference.Then, we'll move to demo our two popular tools on antenna and array design.Next, we'll cover RF design options for transmitter and receiver.Then, we'll go over the specifications and start by designing the Waveform.Here we will run the simulation of the example and show the final results. An overview of a generic radar block diagram.Along the way, we will demo tools and apps that make the process simple and fast. We will approach this by going over one of our documentation examples from specifications to detection. The objective of this webinar is to give an overview of radar system design, using MATLAB and Simulink. ![]() So thank you for attending, and I hope you will leave this presentation with valuable information that you can apply in your job. We will spend the next 45 minutes going over some design aspects of radar systems. My expertise includes RF, radar, and antenna design, as well as teaching professional and college courses. I am an application engineer at The MathWorks.
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