Identifying and tracking method for the beacon in intersatellite laser communications based on the fractional Fourier transform.

Applied optics Pub Date : 2025-09-10 DOI:10.1364/AO.561411
Qiyun Liang, Ninghua Zhang, Qiang Wang, Xuewei Wang, Lei Cui
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Abstract

In satellite-to-satellite optical communications, accurate beacon tracking necessitates two optical terminals. However, during tracking, star background light noise in the receiver's charge-coupled device field of view interferes with beacon light identification, impairing system performance and communication stability, and potentially disrupting the laser communication link. The fast Fourier transform (FFT) algorithm is typically used to differentiate the beacon from starlight based on frequency characteristics. Nonetheless, when the motion trajectories of the beacon and background lights are similar and their light spots overlap, FFT has difficulty distinguishing them, causing incorrect identification of the beacon light, and then disrupting the tracking process. We introduce the fractional Fourier transform segmentation approach, which represents signals in a fractional Fourier field by rotating any angle counterclockwise around the origin in the time-frequency plane, which isolates the beacon from the background light. The method enables effective separation of the beacon light from complex scenarios, so the tracking process will not be interrupted when background light interference occurs at the terminal. This method has great value for improving the tracking performance of laser communication on the beacon light.

基于分数阶傅里叶变换的星间激光通信信标识别与跟踪方法。
在星对星光通信中,精确的信标跟踪需要两个光终端。然而,在跟踪过程中,接收机电荷耦合设备视场中的恒星背景光噪声会干扰信标光识别,损害系统性能和通信稳定性,并可能破坏激光通信链路。快速傅里叶变换(FFT)算法通常用于根据频率特征区分信标和星光。然而,当信标和背景光的运动轨迹相似且光斑重叠时,FFT难以区分它们,从而导致信标光的错误识别,进而干扰跟踪过程。我们引入了分数阶傅里叶变换分割方法,该方法通过在时频平面上围绕原点逆时针旋转任意角度来表示分数阶傅里叶场中的信号,从而将信标从背景光中分离出来。该方法可以有效地将信标光与复杂场景分离开来,从而在终端发生背景光干扰时不会中断跟踪过程。该方法对提高激光通信对信标光的跟踪性能具有重要价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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