# Radar System design Using Matlab
Rapidly model and simulate phased array systems in the MATLAB and Simulink environments
Provides accurate longitudinal position and velocity measurements over long ranges, but has limited lateral accuracy at long ranges
Generates multiple detections from a single target at close ranges, but merges detections from multiple closely spaced targets into a single detection at long ranges
Sees vehicles and other targets with large radar cross-sections over long ranges, but has limited detection performance for nonmetallic objects such as pedestrians
Responsibilities in a project:
Create a project to how to set up a radar system simulation consisting of a transmitter, a channel with a target and a receiver.
Skills: MATLAB, DSP System Toolbox
# Create a Tracker
Create a multiObjectTracker to track the vehicles that are close to the ego vehicle. The tracker uses the initSimDemoFilter supporting function to initialize a constant velocity linear Kalman filter that works with position and velocity.
Tracking is done in 2-D. Although the sensors return measurements in 3-D, the motion itself is confined to the horizontal plane, so there is no need to track the height.
tracker = multiObjectTracker('FilterInitializationFcn', @initSimDemoFilter, ...
'AssignmentThreshold', 30, 'ConfirmationParameters', [4 5]);
positionSelector = [1 0 0 0; 0 0 1 0]; % Position selector
velocitySelector = [0 1 0 0; 0 0 0 1]; % Velocity selector
% Create the display and return a handle to the bird's-eye plot
BEP = createDemoDisplay(egoCar, sensors);
![dev1](https://user-images.githubusercontent.com/20502930/51167165-d73c6d00-18cb-11e9-91b1-d7026d5667f5.JPG)
# The Driving Scenario Designer app enables you to design synthetic driving scenarios for testing your autonomous driving systems.
## Using the app, you can:
Create road and actor models using a drag-and-drop interface.
Configure vision and radar sensors mounted on the ego car, and use these sensors to simulate detections of actors and lane boundaries in the scenario.
Load driving scenarios representing European New Car Assessment Programme (Euro NCAP®) test protocols [1][2][3] and other prebuilt scenarios.
Import OpenDRIVE® roads and lanes into a driving scenario. The app supports OpenDRIVE format specification version 1.4H [4].
Export sensor detections to MATLAB®, or generate MATLAB code of the scenario that produced the detections.
You can use synthetic detections generated from a scenario to test your sensor fusion or control algorithms.
![dev2](https://user-images.githubusercontent.com/20502930/51167538-dc4dec00-18cc-11e9-9d04-88e4339dfed5.JPG)
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毕业设计&课设-基于MATLAB和Simulink的雷达系统设计.zip
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matlab算法,工具源码,适合毕业设计、课程设计作业,所有源码均经过严格测试,可以直接运行,可以放心下载使用。有任何使用问题欢迎随时与博主沟通,第一时间进行解答! matlab算法,工具源码,适合毕业设计、课程设计作业,所有源码均经过严格测试,可以直接运行,可以放心下载使用。有任何使用问题欢迎随时与博主沟通,第一时间进行解答! matlab算法,工具源码,适合毕业设计、课程设计作业,所有源码均经过严格测试,可以直接运行,可以放心下载使用。有任何使用问题欢迎随时与博主沟通,第一时间进行解答! matlab算法,工具源码,适合毕业设计、课程设计作业,所有源码均经过严格测试,可以直接运行,可以放心下载使用。有任何使用问题欢迎随时与博主沟通,第一时间进行解答! matlab算法,工具源码,适合毕业设计、课程设计作业,所有源码均经过严格测试,可以直接运行,可以放心下载使用。有任何使用问题欢迎随时与博主沟通,第一时间进行解答! matlab算法,工具源码,适合毕业设计、课程设计作业,所有源码均经过严格测试,可以直接运行,可以放心下载使用。有任何使用问题欢迎随
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毕业设计&课设-基于MATLAB和Simulink的雷达系统设计.zip (34个子文件)
matlab_code
6.bmp 65KB
dgb.jpg 92KB
testbildcolor.jpg 54KB
pout.tif 67KB
spine.jpg 68KB
2.jpg 5KB
paper2.jpg 854KB
His_paper.m 974B
main1.m 2KB
autumn.tif 209KB
testbild.jpg 50KB
westconcordaerial.png 292KB
SMQT.m 772B
1.jpg 11KB
spine2.jpg 6KB
hist_fun.m 428B
spine.tif 68KB
dgbbackar.jpg 92KB
3.BMP 65KB
IMG_3352.JPG 2.19MB
paper.jpg 1.93MB
5.jpg 6KB
DSC_0215.JPG 9.06MB
lomma.jpg 429KB
His_qual.m 812B
DSC_0218.JPG 8.42MB
vtr.m 2KB
DSC_0216 (2).JPG 3.22MB
img_crop.m 203B
Main_final.m 644B
IMG_3352c.jpg 429KB
README.md 3KB
4.jpg 10KB
deer.jpg 275KB
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- qq_450875792024-02-22#运行出错 #标题与内容不符 #毫无价值 垃圾中的垃圾,和雷达毫无关系,纯纯骗积分的,大家避雷
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