Join our community of users!
“My goal with the radar education community is to develop reference designs that will turn Nutaq’s platform into an affordable radar platform; so that by choosing one of open source, community-built, RF frontends you can enable different experiments on novel cognitive radar concepts. To that end we developed 3 open source front-ends so far :
- Doppler radar,
- MIMO radar with arbitrary waveforms,
- Ultrawideband LFM pulse-compression radar.
These front ends, and others yet to be built, are openely available to education and research communities”
Professor Emre Ertin, from Ohio State University, is one of the participants of the open source community of users of Nutaq’s solution who share their findings, tips and collaborate together on many levels. The Community includes participants from University of Michigan, Massachussetts Institute of Technology (MIT) and Arizona State University to name a few.
Use Matlab & Simulink to…
- Design Custom Waveforms
- Load waveforms and configure platform
- Change waveforms on the fly
- Set duty cycle
- Initiate transmission
- Record and download radar backscatters
- Visualize and process data
- Design, simulate and deploy cognitive radar algorithms on FPGA with Simulink (no VHDL needed)
Cognitive Radar Reference Design and Tutorial
- Customize FPGA with Simulink for quick prototyping
- Sense information about the propagation environment
- Built-in SNR estimator
- Adaptive Waveform Control
- Less than 1 μSec turnaround time
- Built-in Pulse Compression Algorithm
- Transmit / Record on trigger
- Step-by-step tutorial to rebuild the design starting from scratch
Record full sampling rate radar return for more than 4 minutes overall
- Record continuously raw data on the built-in hard drive or Record only during transmissions
- Add external eSata hard disk to increase record duration
- Increase by 10x the recording capacity by using our Compression Algorithms Design Kit
If you’re interested in radar, take a look at these articles:
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