Data using X-band radar and small Styrofoam sphere target were mesured. The measurement system transmitted a linear frequency modulation waveform that had initial carrier frequency 9.35 GHz, stepped carrier frequency interval 0.2 MHz, solid state power amplifier (SSPA) power 50 W, bandwidth 5 MHz, polarization of HH, pulse-repetition interval 0.4 ms, pulse-processing interval 16 ms, scan-repetition interval 0.75 s, and scan-processing interval 15 s.
The database contains the raw range-azimuth measurements obtained from mmWave MIMO radars (IWR1843BOOST http://www.ti.com/tool/IWR1843BOOST) deployed in different positions around a robotic manipulator. Data has been collected inside a workspace environment. The data is used to train a machine learning model for the detection of a human operator placed in different positions (see the image). The Python code examples (on github link) use the data for federated learning.
