Hi @muhammed kadir,
I can guide you which will help you out over here. So, it sounds like you already have the right hardware setup for raw ADC data capture and signal processing — the IWR6843ISK, MMWAVEICBOOST, and DCA1000EVM boards are fully supported. Starting with R2024b, the Radar Toolbox Support Package for Texas Instruments mmWave Radar Sensors lets you connect to the IWR6843ISK via the DCA1000EVM and acquire raw IQ data directly in MATLAB. This setup works for both SAR imaging and object detection applications. Here are basic setup instructions.
1. Run the setup wizard:
mmWaveRadarSetup
Follow the prompts to complete configuration.
2. Make sure your PC’s Ethernet interface (connected to the DCA1000EVM) uses a static IP of 192.168.33.30.
3. Hardware connections: * IWR6843ISK → PC via USB (serial) * DCA1000EVM → PC via Ethernet * Both boards powered with 5V, 3A adapters
As far as data acquisition goes, I would suggest the following options:
Option 1 – Real-Time Streaming
dca = dca1000("IWR6843ISK");
for i = 1:100 radarDataCube = step(dca); % Add your processing code here end
release(dca);
Option 2 – Record for Offline Processing
dca = dca1000("IWR6843ISK");
dca.RecordDuration = 100; % seconds
dca.RecordLocation = "C:\RadarData\MyProject";
startRecording(dca);
Now, regarding SAR imaging, it is is supported using standard range–Doppler processing and back-projection methods.See examples like Stripmap SAR Image Formation in Radar Toolbox for reference & for object detection, you can either use the high-level `mmWaveRadar` interface for point-cloud data or process raw ADC data manually for custom algorithms (range, Doppler, and angle estimation). Here are the common issues to keep in mind if they occur
- Check Ethernet IP = `192.168.33.30`
- Allow UDP traffic on port 4098
- Make sure the radar `.cfg` file is valid (can be created with the TI mmWave Demo Visualizer)
