Labs & Projects¶
Radar Platform¶
The labs and projects will be principally based on the TI AWR1843AOPEVM mmWave radar evaluation module and the RadarML / xwr software stack.
Students will receive a lab kit with the following:
- Radar & capture card assembly, with the TI AWR1843AOPEVM and DCA1000EVM within a 3D-printed enclosure
- 5v power supply for the capture card
- Micro USB cable and ethernet cable
Radar Assembly BOM
| Part | Qty | Description |
|---|---|---|
shell.STL; PLA, standard print quality |
1 | Top shell of the enclosure, with mounting points for each component |
bottom.STL; PLA, standard print quality |
1 | Bottom plate with 1/4-20 inserts for tripod attachment |
| TI AWR1843AOPEVM | 1 | Radar sensor |
| TI DCA1000EVM | 1 | Radar capture card |
| Samtec HQCD-030-06.00-TEU-SEU-1 Coaxial Ribbon Cable | 1 | Longer version of the cable included with the DCA1000EVM |
| 5.5x2.1mm DC Jack Panel Mount, 12mm diameter | 1 | Power input for the DCA1000EVM |
| 5.5x2.1mm DC Jack 90 degree | 1 | Power input for the DCA1000EVM |
| M2x5mm screw | 2 | Mounting the AWR1843AOPEVM to the shell |
| M2.5x5mm screw | 2 | Mounting the AWR1843AOPEVM to the shell |
| M3x5mm screw | 4 | Mounting the DCA1000EVM to the shell |
| M3x8mm screw | 4 | Attaching the bottom plate |
| M3x5x4 heat set insert | 4 | Installed in the top shell |
| 1/4-20 heat set insert | 3 | Installed in the bottom plate |
Course Project¶
In groups of up to 4, students will complete an open-ended project applying machine learning techniques to the AWR1843AOP radar platform or another RF system of their choice. The project must have the following elements:
- A machine learning component (i.e., a data-driven algorithm) must be used to perform some task; training and fine-tuning is encouraged, but not required.
- The project must involve the team working with a real RF system, either for data collection and/or deployment. In other words, projects must either collect some data, demonstrate their model running on a real system, or ideally, both!