人员跟踪 Demo

中文

people_tracking 目录包含三类内容�?

• download_data.py 下载示例离线数据 circle.bin
• people_tracking.py 完整离线处理链：Range FFT、Capon 波束形成、CFAR、Doppler 估计、EKF、可视化
• EKF_from_TLV.py 使用 TI 设备实时输出的点�?/ TLV 风格数据�?EKF 跟踪

离线 demo 处理�?

1. 读取 circle.bin
2. �?DCA1000.organize 重排原始 ADC
3. range_processing
4. aoa_capon
5. ca_ �?CFAR
6. 估计多普�?
7. 送入 EKF
8. �?gtrack_visualize 画出目标与点�?

适合你参考的部分

• 如何�?OpenRadar �?DSP 基元串起�?
• 点云�?EKF 的数据流
• demo 参数的组织方�?

English

The people_tracking folder contains three practical pieces:

• download_data.py Downloads the sample offline dataset circle.bin
• people_tracking.py An end-to-end offline pipeline with Range FFT, Capon beamforming, CFAR, Doppler estimation, EKF, and visualization
• EKF_from_TLV.py Uses point-cloud / TLV-style output from a TI radar for live EKF tracking

Offline pipeline summary

1. Read circle.bin
2. Reorganize ADC samples with DCA1000.organize
3. Run range_processing
4. Apply aoa_capon
5. Run CFAR via ca_
6. Estimate Doppler
7. Update the EKF
8. Visualize tracks and points through gtrack_visualize

对应源码 / Source files

• repro/openradar/demo/people_tracking/download_data.py
• repro/openradar/demo/people_tracking/people_tracking.py
• repro/openradar/demo/people_tracking/EKF_from_TLV.py