The Radarbook2 is a novel microwave radar evaluation platform for R&D laboratories. The Radarbook2 is an improved version of the Radarbook with a faster Ethernet connection and a powerful Arria 10 processing unit. This platform enables the execution of custom applications directly on the dual-core ARM processor.
Modular RF-Frontend
- 77-GHz FMCW Frontends
- 77-GHz Antenna Design Kit with 8 TX and 16 RX Antennas and WR-12 Waveguide Transitions
- High Performance 77-GHz Frontends with integrated Horn Antennas (4 TX and 16 RX Antennas)
- 24-GHz FMCW Frontends
- 10-GHz FMCW Frontends
FPGA Signalprocessing
- Raw data sampling (16 channels with 40 MSP)
- DDR3 memory bandwidth > 12 GBit/s
- 1 GByte onboard memory for signal processing
- Calculation of range profiles
- Calculation of range-Doppler Maps for up to 16 channels (2048 x 512)
- Calculation of point clouds
Soft- and Hardware
- Arria 10 System-On-Chip
- GBit Ethernet connection (up to 550 MBit/s)
- Dual-core ARM with Linux Operating System (Debian, Ubuntu 20.4)
- Python3 and C++ applications executed on the system (no compiler required)
- ROS interface
Applications
Fast-Chirp FMCW System with Output of Point Cloud
- Calculate range-Doppler maps with FPGA (max size 2048 x 512 for 16 channels)
- Extract point cloud to reduce data rate
- Example: 24-GHz system with 8 channels
- 256 Chirp with a duration of 102.4 µs and a chirp repetition interval of 125 µs
- 32 ms measurement duration
- Calculate 2048 point range FFT and 512 point velcotiy FFT in less than 30 ms
- Range-Doppler measurements can be conducted continuously
- Add custom tracking algorithms
- Add advanced DoA algorithms
- Input point clouds into neuronal networks (data rates ∼ 10 MBit/s)
Visualization of Point Cloud
- Calculate range-Doppler maps for up to 16 channels
- Visualize point cloud with Matlab or Python in real-time
- Implement advanced DoA algorithms
- Input point cloud to neural networks
Record IF Data, Range Profiles or Point Clouds with RadServe
- Record data to HDF5 file
- Synchronize multiple video streams
- Trigger measurements from GPS timestamp and record GPS messages
Operate Radar System from Graphical User Interface
- Simple configuration
- Display raw IF signals, range profiles, range-Doppler maps, reflectivity maps
- Demonstrate radar principles with a few clicks
FMCW Radar System Operated from Python or Matlab
- Simple configuration of timing and FMCW waveform
- Implement your own signal processing
- Access raw data or range-profiles