电波科学学报2025，Vol.40Issue(6)：1112-1121,10.DOI:10.12265/j.cjors.2025004
一种基于CNN的阵列非平行失准OAM模态识别方法
A CNN-based method for non-parallel misaligned OAM modal recognition of arrays
摘要
Abstract
In this paper,a modal identification method combining phase compensation and machine learning is proposed for the modal identification challenge in the case of non-parallel misalignment of transceiver arrays in orbital angular momentum(OAM)communication.Firstly,the method is based on the equivalence principle to utilize the spatial phase difference to obtain the compensated weighted phase of the receiving array elements and establish the receiving array equivalent model,through which the equivalence mechanism is used to recover the vortex phase wavefront distorted due to the non-alignment of the transceiver arrays.And secondly,the compensated phase and amplitude data are integrated into a two-channel dataset,which is used for the training of a convolutional neural network(CNN)model.Lastly,the modal identification is carried out using the trained network.The paper also describes the traditional modal identification method for amplitude detection(AD),and verifies the accuracy and stability of the proposed identification method through comparative analysis of simulation examples.The simulation results confirm that the proposed phase compensation method can effectively recover the vortex phase wavefront of the signal with the advantage of low complexity.Under OAM indexed coding modulation,the proposed modal recognition method achieves significant improvement in bit error rate(BER)performance and shows superior robustness compared with the traditional method.Characterized by low complexity,high accuracy and high stability,this method provides an efficient modal reception identification solution for OAM short-range high-speed communication in the transceiver array non-parallel misalignment scenario.关键词
相位补偿/机器学习/轨道角动量(OAM)/OAM通信/OAM索引调制/模态识别Key words
phase compensation/machine learning/orbital angular momentum(OAM)/OAM communications/OAM index modulation/modal identification分类
信息技术与安全科学引用本文复制引用
ZUO Pengjin,FENG Ju,SHANG Yuping,WANG Qiangming..一种基于CNN的阵列非平行失准OAM模态识别方法[J].电波科学学报,2025,40(6):1112-1121,10.基金项目
电磁空间安全全国重点实验室开放基金(JS0240405242)Open Fund of the State Key Laboratory of Electromagnetic Space Security(JS0240405242) （JS0240405242）
