Improved REV algorithm based on signal reconstruction for phase calibration of optical phased array

Optical phased array (OPA) is a kind of non-mechanical beam control technology that has extensive application prospects in various fields. However, the initial phase offset of OPA chips will significantly degrade the quality of far-field beams. In this study, a novel hybrid algorithm, to our knowledge, integrating signal reconstruction, rotating-element electric-field vector (REV) techniques, and quantum particle swarm optimization (QPSO) are proposed to address this challenge. Furthermore, our proposed algorithm was employed to calibrate a 512 channel OPA chip. The experimental results demonstrate that, compared with basic particle swarm optimization (BPSO) and deterministic stochastic gradient descent (DSGD), the proposed algorithm effectively escapes local optima and achieves a higher side lobe suppression ratio under comparable iteration counts.