The invention belongs to the technical field of
visible light communication, and specifically relates to a
machine learning multi-band carrier-free amplitude-phase (multi-band CAP) modulation
system based on
independent element analysis (ICA). The
system of the present invention mainly includes matched filtering & down-sampling, first-level CAP forming and cross-matching filtering, ICA sub-band
signal purification, each sub-band
signal recovery phase offset, second-level CAP forming and cross-matching filtering, and subtracting sub-band interference , least
mean square filter and other modules. In the present invention, after inversion of sub-band interference at the receiving end, it is sent to ICA together with the original received sub-band
signal to initially purify each sub-band signal, and then through the second-stage sub-band interference inversion and subtracting the inter-sub-band interference, and then use the second level of
equalization to eliminate the
guard interval between sub-bands, improve the tolerance of the
system to
aliasing between sub-bands, achieve the same
transmission rate with less bandwidth, and use the signal bandwidth more effectively , to improve the spectrum utilization of the
visible light communication system.