| 2 - Phased Arrays and Direction of Arrival | |||
| 3 - DoA Estimation Methods | |||
| 4 - Validation with AWR2243 | |||
| 10. DoA Estimation with Real Measurements.mp4 | 65.5 MB | ||
| 5 - Additional Resources | |||
| 11. Bonus Lecture.mp4 | 9.2 MB | ||
| 9. Measurement Setup, Scenarios, and Signal Processing.mp4 | 108.8 MB | ||
| 4. Spatial FFT.mp4 | 37.7 MB | ||
| 5. Bartlett Beamforming.mp4 | 40.1 MB | ||
| 6. Capon MVDR.mp4 | 63.7 MB | ||
| 7. MUSIC.mp4 | 51.6 MB | ||
| 8. ESPRIT.mp4 | 53.5 MB | ||
| 3. Phased Arrays and DoA Fundamentals.mp4 | 35.8 MB | ||
| Bonus Resources.txt | 102.4 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| awr2243_de_interleaving.py | 10.5 KB | ||
| awr2243_detection_profile.py | 13.9 KB | ||
| awr2243_doa_estimation.py | 48.3 KB | ||
| awr2243_rd_fft.py | 14.9 KB | ||
| awr2243_reading_adc.py | 5.1 KB | ||
| awr2243_virtual_channels.py | 24 KB | ||
| configuration.py | 4 KB | ||
| detect | |||
| __init__.py | 102.4 B | ||
| __pycache__ | |||
| __init__.cpython-313.pyc | 307.2 B | ||
| ca_cfar.cpython-313.pyc | 2.4 KB | ||
| ca_cfar.py | 1.9 KB | ||
| doa | |||
| __init__.py | 512 B | ||
| __pycache__ | |||
| __init__.cpython-313.pyc | 614.4 B | ||
| axis.cpython-313.pyc | 1.3 KB | ||
| axis.py | 819.2 B | ||
| beamformer.cpython-313.pyc | 17.2 KB | ||
| beamformer.py | 15.4 KB | ||
| doppler | |||
| __init__.py | 102.4 B | ||
| __pycache__ | |||
| __init__.cpython-313.pyc | 204.8 B | ||
| doppler_fft.cpython-313.pyc | 2.4 KB | ||
| doppler_fft.py | 1.8 KB | ||
| io | |||
| __init__.py | 102.4 B | ||
| __pycache__ | |||
| __init__.cpython-313.pyc | 307.2 B | ||
| range | |||
| __init__.py | 307.2 B | ||
| __pycache__ | |||
| __init__.cpython-313.pyc | 409.6 B | ||
| axis.cpython-313.pyc | 716.8 B | ||
| axis.py | 1.1 KB | ||
| dataset | |||
| awr2243_calibration.npz | 4.6 KB | ||
| broadside_0p0m.bin | 8 MB | ||
| broadside_3p0m.bin | 8 MB | ||
| explore | |||
| __pycache__ | |||
| __init__.cpython-313.pyc | 102.4 B | ||
| doa_bartlett.cpython-313.pyc | 14.8 KB | ||
| doa_capon.cpython-313.pyc | 14.6 KB | ||
| doa_esprit.cpython-313.pyc | 19.2 KB | ||
| doa_fft.cpython-313.pyc | 11.2 KB | ||
| doa_music.cpython-313.pyc | 16.2 KB | ||
| live_covariance.cpython-313.pyc | 7.5 KB | ||
| off_boresight_0p0m.bin | 8 MB | ||
| off_boresight_3p0m.bin | 8 MB | ||
| fft.cpython-313.pyc | 2.3 KB | ||
| fft.py | 3.3 KB | ||
| scale.cpython-313.pyc | 2.2 KB | ||
| scale.py | 1.2 KB | ||
| window.cpython-313.pyc | 1.4 KB | ||
| window.py | 819.2 B | ||
| read_adc.cpython-313.pyc | 2.9 KB | ||
| read_adc.py | 5.3 KB | ||
| fft_angle.cpython-313.pyc | 3.3 KB | ||
| fft_angle.py | 2.3 KB | ||
| localmax.cpython-313.pyc | 1.9 KB | ||
| localmax.py | 1.4 KB | ||
| doa_bartlett.py | 11.3 KB | ||
| doa_capon.py | 10.7 KB | ||
| doa_esprit.py | 15.5 KB | ||
| doa_fft.py | 9.8 KB | ||
| doa_music.py | 12.3 KB | ||
| requirements.txt | 0 B | ||
| scripts | |||
| __pycache__ | |||
| __init__.cpython-313.pyc | 102.4 B | ||
| awr2243_calibration.cpython-313.pyc | 35 KB | ||
| awr2243_cfar_detection.cpython-313.pyc | 14.1 KB | ||
| awr2243_de_interleaving.cpython-313.pyc | 11.4 KB | ||
| awr2243_detection_profile.cpython-313.pyc | 13.8 KB | ||
| awr2243_doa_estimation.cpython-313.pyc | 44.2 KB | ||
| awr2243_doa_spectrum.cpython-313.pyc | 39.5 KB | ||
| awr2243_estimation_validation.cpython-313.pyc | 26.9 KB | ||
| awr2243_rd_fft.cpython-313.pyc | 15.3 KB | ||
| awr2243_reading_adc.cpython-313.pyc | 6 KB | ||
| awr2243_unitary_validation.cpython-313.pyc | 20.6 KB | ||
| awr2243_virtual_channels.cpython-313.pyc | 24 KB | ||
| ~Get Your Files Here ! | |||
| 1 - Introduction | |||
| 1. Introduction.mp4 | 32.5 MB | ||
| 2. Prerequisites and Course Setup.mp4 | 13.8 MB | ||
| awr2243_doa_estimation | |||
| README.md | 819.2 B | ||
| awr2243 | |||
| __pycache__ | |||
| __init__.cpython-313.pyc | 102.4 B | ||
| aoa | |||
| __pycache__ | |||
| __init__.cpython-313.pyc | 512 B | ||
| axis.cpython-313.pyc | 1.3 KB | ||
| beamformer.cpython-313.pyc | 12.9 KB | ||
| cartesian.cpython-313.pyc | 819.2 B | ||
| fft_angle.cpython-313.pyc | 2.1 KB | ||
| configuration.cpython-313.pyc | 4.1 KB | ||
| ▲ 90 total files | |||
DoA Estimation for Automotive FMCW Radar
https://WebToolTip.com
Published 8/2026
Created by Aleksei Rostov
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English | Duration: 11 Lectures ( 57m ) | Size: 531 MB
Learn Spatial FFT, Bartlett, Capon/MVDR, MUSIC and ESPRIT with simulations and real AWR2243 radar measurements
What you'll learn
⚡ Understand how phased antenna arrays and spatial phase differences enable direction-of-arrival estimation.
⚡ Implement and compare Spatial FFT, Bartlett, Capon/MVDR, MUSIC, and ESPRIT DoA estimation methods.
⚡ Evaluate angular resolution, estimation accuracy, and limitations of conventional and super-resolution DoA methods.
⚡ Process real FMCW radar measurements from a TDM MIMO virtual antenna array for direction-of-arrival estimation.
⚡ Validate DoA algorithms using real AWR2243 measurements with single-target and two-target radar scenarios.
Requirements
❗ Basic understanding of digital signal processing and complex-valued signals.
❗ Basic knowledge of Python and NumPy is recommended.
❗ Basic familiarity with FMCW radar is helpful but not required.
❗ No radar hardware is required; measurement data and processing scripts are provided.
| torrent name | size | uploader | age | seed | leech |
|---|---|---|---|---|---|
| 809 MB | freecoursewb | 6 months | 0 | 0 |
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