模型描述

To make parameters for雷达系统设计easier to change and easier to determine their values, the model has a GUI. Radar and weather parameters may be changed from this GUI. While simulating, the effects of these parameters can be seen on the scope display which shows the actual aircraft range in yellow and the estimated aircraft range from the radar in magenta. Another output that can be viewed is the calculated signal to noise ratio (SNR) is compared to the ideal SNR. Ideal SNR is also specified from the GUI. The result is shown in the display block and will be either 1 (SNR >= ideal SNR) or 0 (SNR < ideal SNR).

Simulink® and Stateflow® are used in the model, which is divided into three main subsystems, radar, aircraft, and weather.

Using subsystems is helpful in two ways: the model is organized and easier to understand and the work can be split between multiple engineers by subsystems. The Stateflow machine labeled "check SNR" performs the logic comparing calculated SNR to the ideal SNR and output data based on this comparison.

您可以运行模拟，以确定雷达是否可以通过示波器上的输出来捡起飞机。使用GUI，可以更改雷达和天气参数，并将更改可以“看到”飞机的范围。

Open and simulate the aero_atc model.

open_system('aero_atc');

sim卡('aero_atc');

Design Issues

雷达系统是为特定目的而设计的，很少有效地用于其他应用程序。每个新的雷达规范都需要计算新的参数值。在为应用程序设计雷达时，有许多参数可以塑造设计。这些参数中的某些参数是从客户规范中逻辑上包含或派生的。其他设计工程师的最佳判断任意选择。这是系统设计的第一个近似解决方案。从这里开始，进行设计参数的持续细化，直到达到最佳设计为止。如果客户规格中发生任何更改，则可能会从一开始就需要重新设计设计过程。该设计策略的参数性质使自动化自动化。

Design Specification

We're interested in performing conceptual design for a ground-based air traffic control (ATC) radar. Let's take a look at a potential customer specification.

This is an example of a customer specification upon which a design process would be based. The customer, possibly the FAA, provides some basic requirements for the radar design leaving a number of parameter selections up to the design engineer.

It should be noted that some of the logically derived parameters depend on assumptions made by the engineer and would need to be recalculated each time the best-judgment parameters are optimized. This problem lends itself well to simulation. By using Simulink and Stateflow, the design engineer has the analysis capability to have time-varying design cases for Monte Carlo test runs, i.e.: aircraft cross-sections and locations, weather cross-sections, and locations.

MathWorks® Products in the Design Process

Here's how MathWorks® products fit the job of conceptual radar design:

Using the customer specification and the radar range equations along with equations describing the physics of the system, a model is built in MATLAB®, Simulink, and Stateflow. Using the model with the sim command for batch runs, those best-judgment parameters can be optimized for various conditions, weather, aircraft, using a Monte Carlo simulation run to prove robustness. The result is a set of optimized radar parameters that can be used to build a detailed block diagram model of the full radar system for further system analysis in Simulink with the DSP System Toolbox™.