The invention discloses a self-reference three-phase
polarization imaging system and method based on an integrated
photon neural network, and the method comprises the steps: setting a fixed
phase difference in a
silicon-based
photon chip to achieve three-phase projection and single-port reading, outputting a three-phase interference
signal at the same time, obtaining all phase and polarization information in one-time imaging to achieve full-polarization measurement, and carrying out the single-port reading of the
silicon-based
photon chip; according to the invention, the effective resolution ratio is consistent with that of an original detection array, power and temperature drift is eliminated, single-frame acquisition has no
time sequence error and motion artifact, a stable and compact single-port self-reference reading mode is realized through a three-phase interference measurement architecture constructed on a
chip in combination with channel normalization and rotation correction, and complete
Stokes parameters and polarization information can be measured. According to the
system provided by the invention, the MZI is adopted, so that the phase bias can be flexibly adjusted, and different bandwidth requirements can be met by adjusting an interference path. The
silicon-based photon platform has a
broadband response characteristic and can cover a visible
wave band, so that the device can keep stable interference performance in a communication
wave band.