matlab输出锯齿波代码SFND_Radar
SensorFusionNanoDegree雷达信号处理项目
介绍
该项目的目的是使用MATLAB首先模拟来自移动车辆的雷达信号，然后处理这些信号以获取距离和速度。
该项目执行以下步骤：
计算给定要求的FMCW（调频连续波）波形的参数；
设置目标的范围和速度并模拟其雷达信号；
通过混合发送和返回的信号以产生拍频来产生雷达信号；
对拍子信号执行范围FFT，以确定在步骤2中设置的范围；
执行2D范围和多普勒FFT以显示范围和速度；
执行CFAR（恒定误报率）分析以从步骤5开始在2D
FFT映射中跟踪目标。
操作顺序如下图所示
主目录中包含用于执行操作的matlab代码。
该代码包含在文件“
RadarProject.m”中。
该文件的部分内容将复制到此页面并进行讨论，以说明如何执行上述步骤。
FMCW信号设计
上图显示了FMCW雷达信号的特性。
在时间跨度“
Ts”内，发射信号的频率从基本载波频率（fc）上升，然后下降并再次上升。
锯齿状的频率斜坡称为“线性调频”。
线性调频由线性调频时间“
Ts”上线性调频频率带宽“
B”的“斜率”定义，“
2021-06-12 13:14:45
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一本描述机载雷达的好书，英文版，内容有趣，印刷非常清晰，引用了大量先进战机为例进行说明。中文版的翻译太差。
2021-06-11 12:49:21
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Introduction: radar electronic backscattering; radar signals; radar ambiguity function and matched filter; synthetic aperture radar imaging. Time-frequency transforms: linear transforms; bilinear transforms. Detection and extraction of signal noise: time-varying frequency filtering; SNR improvement in time-frequency domain; CFAR detection in joint time-frequency domain; signal extraction in joint time-frequency domain. Time-frequency analysis of radar range profiles: electromagnetic phenomenology embedded in backscattered data; time-frequency representation of range profiles; application of high-resolution time-frequency techniques to scattering data; extraction of dispersive scattering features from radar imagery using time-frequency processing. Time-frequency based image formation: radar imaging of moving targets; motion compensation; time-frequency based image formation; radar imaging of manoeuvring targets; radar imaging of multiple targets. Motion compensation in inverse synthetic aperture radar imaging using time-frequency techniques: motion compensation algorithms; time-frequency based motion compensation; motion compensation examples of simulated and measured data; presence of three-dimensional target motion. Synthetic aperture radar imaging of moving target: radar signatures of moving targets; effect of target motion on SAR imaging; detection and imaging of moving targets; SAR imaging of moving targets using time-frequency transforms. Time-frequency transform for analysis of micro-doppler phenomena: vibration induced micro-doppler; rotation induced micro-doppler; examples. Trends in time-frequency transforms for radar applications
2021-06-10 11:21:13
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Radar Cross Section - 2nd - Eugene F. Knott.rar
2021-06-09 20:27:42
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AWR1642读取数据（Python 3）
可以从AWR1642和IWR1642 mmWave雷达板（Texas Instruments）实时读取和绘制数据的Python程序。 该程序已经过Windows和Raspberry Pi的测试，并基于德州仪器（TI）的Matlab演示。
首先，程序配置串行端口，并将配置文件中定义的CLI命令发送到雷达。 接下来，对来自雷达的数据进行解析，以提取反射点的2D位置，范围和多普勒速度。 最后，在散点图中显示了反射点的2D位置。
尽管可以正常运行，但该程序仍在开发中，因此，如果您有任何意见或疑问，请随时发表评论。
必需的Python软件包
numpy
2021-05-28 14:31:50
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Sensor Fusion Using Synthetic Radar and Vision Data.mlx
2021-05-23 09:02:58
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