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作 者:滕雨彤 TENG Yutong(China Airborne Missile Academy,Luoyang 417009,China)
出 处:《现代电子技术》2025年第3期13-18,共6页Modern Electronics Technique
摘 要:受到码间干扰影响,无线通信网络的通信传输过程不够稳定且存在一定风险,而信道状态的不确定性和时变性,增加了干扰抑制的实时性,由此,提出基于模糊集的无线通信网络码间干扰时序抑制算法。建立无线通信网络通信信道模型并展开信道多径特性测量,以分析无线通信网络中信道的行为特性;基于该特性,采用基于贝叶斯滤波的信道估计方法实时跟踪并准确估计信道状态,为码间干扰抑制提供基础;将估计结果作为输入,选用基于模糊神经网络的盲均衡算法,通过模糊集理论和盲均衡器实现码间干扰时序抑制,增强无线通信网络性能。实验结果表明,所提方法可以有效降低码间干扰的影响,为无线通信网络的稳定传输提供有力的保障。Due to the influence of inter symbol interference,the communication transmission process of wireless communication networks is not stable enough and there are a certain risks.The uncertainty and time⁃varying of channel state requires higher real⁃time property of interference suppression.Therefore,a fuzzy set based algorithm for temporal suppression of inter symbol interference in wireless communication networks is proposed.A wireless communication network communication channel model is established and channel multipath characteristic measurements are conducted,so as to analyze the behavioral characteristics of channels in the wireless communication networks.On the basis of this characteristic,a channel estimation method based on Bayesian filtering is adopted to track and accurately estimate the channel state in real time,providing a foundation for inter symbol interference suppression.The estimation results are taken as the input.A blind equalization algorithm based on fuzzy neural networks is adopted to realize temporal suppression of inter symbol interference by the fuzzy set theory and blind equalizers,enhancing the performance of wireless communication networks.The experimental results show that the proposed method can reduce the impact of inter symbol interference effectively and provide strong guarantees for the stable transmission of wireless communication networks.
关 键 词:信道模型 多径特性测量 贝叶斯滤波 信道估计 模糊神经网络 盲均衡器 模糊集 码间干扰抑制
分 类 号:TN911-34[电子电信—通信与信息系统]
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