The Genetic Algorithm for 5G MIMO Auto-calibration

For 5G applications, the reliable and time-effective calibration method is essentially important for the mass-production test. However, lots of test and calculation procedures involved by using far-field and near-field test method result in a very time consuming process. Although the built-in close-loop self-calibration method implemented in the transceiver RFICs design can automatically calibrate the signal amplitude/phase of the signaling paths nearby the antenna feeding trace in RFICs, the signal's deviation caused by the radiated structure, feeding network, and radome effect cannot be taken into accounted. Therefore, an evolutional test method to provide an automatically fast and reliable calibration for 5G MIMO is on demand. In this study, applying the generic algorithm is proposed to automatically calibrate the 5G MIMO at far-field range.