Pointing-Error Correction of Optical Communication Terminals on Motion Platforms Based on a K-Nearest Neighbor Algorithm

Abstract

High-precision pointing is a key technology in free-space optical communication, as it improves the acquisition probability and reduces the acquisition time. High-precision pointing of an optical communication terminal (OCT) on a motion platform is particularly important for establishing a global communication network. An OCT on a motion platform is subjected to both linear and nonlinear pointing errors. The present paper analyzes both types of pointing errors in detail. Linear pointing errors can be well corrected by the parameter model. This paper proposes a K-nearest neighbor (KNN) algorithm that corrects nonlinear pointing errors and verifies its effectiveness through tracking star experiments. After correcting the nonlinear pointing errors through KNN algorithm, the modified and actual open-loop pointing errors were 69.0 and 70.8 μrad, respectively, reduced from 87.3 and 91.9 μrad, respectively, in the parameter model. Thus, the proposed KNN algorithm can effectively improve the pointing accuracy of an OCT on a motion platform.