MMSE on RISC-V

Forked from gfdmrv and lte-benchmark-code.

Configuration

Set up defines in inc/define.h before using the tool.

• NUM_RX_ANT - number of recieving antennas
• NUM_TX_ANT - number of transmitting antennas
• NUM_SC - number of subcarriers

Data generation

Generate data with scripts/gen_data.py.

$ python scripts/gen_data.py --help

There are 4 variables that are generated:

• x - transmitted signal
• H - channel signal
• R - noise correlation matrix
• y - received signal

The data is generated as complex floating point. It is interleaved into int16 before output. Interleaved data contains real values on even positions and imaginary values on odd positions. Interleaving and deinterleaving functions can be found in scripts/util.py.

• txt files are line separated entries
• bin files are densly concatenated values
• S file an asm data file with multiple sections for each variable. Note that running python scripts/gen_data.py --s outputs the file into stdout, so consider using > data.S.

Data visualization

The program outputs the approximated x into out/x_mmse.bin. Run python scripts/viz_compare_x.py to plot the actual and approximated signal samples, assuming that data/x.bin exists.

It is possible to compare the C implementation with a simple python numpy one. Running python scripts/mmse.py creates out/x_mmse_python.bin assuming that data/x.bin exists. Plot it together with the C approximation by cp out/x_mmse_python.bin bin/x.bin. Compare it with the original signal by cp out/x_mmse_python.bin out/x_mmse.bin.