聊城大学学报（自然科学版）2025，Vol.38Issue(4)：527-534,8.DOI:10.19728/j.issn1672-6634.2024100002
超奈奎斯特速率相干FSO-MIMO系统下的变步长盲均衡优化算法
Variable step-size blind equalization optimization algorithm for Faster-than-Nyquist coherent FSO-MIMO systems
摘要
Abstract
The utilization of Faster-than-Nyquist(FTN)technology in Multiple-Input Multiple-Output(MIMO)Free Space Optical(FSO)communication systems introduces inter-symbol interference and sig-nal distortion caused by atmospheric turbulence effects,necessitating the optimization of equalization algo-rithms to ensure communication system reliability.By incorporating a decision feedback structure into the Constant Modulus Algorithm(CMA),the equalizer exhibits enhanced resistance against ISI.Based on ob-served variations in the error vector function of the CMA equalizer,a variable step size decision feedback structured blind equalization optimization algorithm is designed by following an Exponentiated Weibull(EW)distribution model for determining the step size coefficient.Simulation results demonstrate that in-creasing the number of receiving antennas compared to transmitting antennas yields higher gains in Bit Er-ror Rate(BER)and Error Vector Magnitude(EVM),along with improved phase noise recovery.Under FTN acceleration parameter of 0.9 and moderate turbulence conditions,employing a 2×4 antenna configu-ration with the proposed algorithm enhances BER performance by 36.39%and EVM performance by 4.96%.By controlling the acceleration parameter within a certain range,effective recovery of FTN ISI is a-chieved using the proposed algorithm.Compared to fixed step size algorithms,although exhibiting in-creased computational complexity,our proposed algorithm demonstrates improved BER and EVM per-formance.Moreover,it demonstrates superior convergence capabilities for equalizers.关键词
自由空间光通信/超奈奎斯特/多输入多输出/盲均衡算法Key words
free space optical communication/Faster-than-Nyquist/Multiple-Input Multiple-Output/blind equalization algorithm分类
信息技术与安全科学引用本文复制引用
孙沁雪,曹明华,张霞,黄敏,张凌雲,鲍姗,朱凯..超奈奎斯特速率相干FSO-MIMO系统下的变步长盲均衡优化算法[J].聊城大学学报（自然科学版）,2025,38(4):527-534,8.基金项目
国家自然科学基金项目(62265010) （62265010）
山东省自然科学基金项目(ZR2022MF284)资助 （ZR2022MF284）
