摘 要
无线通信作为现代信息社会的重要支柱，其性能受到多径效应的显著影响。多径效应源于信号在传播过程中经由不同路径到达接收端，导致信号叠加产生畸变，从而降低通信质量。为解决这一问题，本文系统研究了多径效应的成因、特性及其对无线通信系统的影响，并提出了一种基于智能算法的多径补偿方法。该方法结合自适应滤波与深度学习技术，通过构建多径信道模型并实时调整补偿参数，有效提升了信号的传输质量和系统稳定性。研究结果表明，所提方法能够在复杂多径环境下显著降低误码率，提高频谱效率，相较于传统补偿方案具有更高的适应性和鲁棒性。
关键词：多径效应 智能算法 深度学习
Abstract
As an important pillar of the modern information society, the performance of wireless communication is significantly affected by the multi-path effect. The multipath effect originates from the signal reaching the receiving end through different paths during the propagation process, resulting in the distortion of the signal superposition and thus reducing the communication quality. To solve this problem, this paper systematically study the causes and characteristics of multipath effect on wireless communication system, and propose a multipath compensation method based on intelligent algorithm. Combining adaptive filtering and deep learning technology, this method effectively improves the signal transmission quality and system stability by constructing the multi-path channel model and adjusting the compensation parameters in real time. The results show that the proposed method can significantly reduce the error rate and improve the spectral efficiency in a complex multi-path environment, which has more adaptability and robust than the traditional compensation scheme.
Keyword:Multi-Path Effect Intelligent Algorithm Deep Learning
目 录
1绪论 1
1.1无线通信中多径效应的研究背景 1
1.2多径效应及其补偿方法的研究意义 1
1.3国内外研究现状与发展趋势 1
1.4本文研究方法与技术路线 2
2多径效应的理论基础与特性分析 2
2.1无线信道中的多径传播机制 2
2.2多径效应对信号传输的影响 3
2.3多径效应的数学建模与分析 3
2.4不同场景下的多径效应特性 4
2.5多径效应的关键参数研究 4
3多径效应补偿方法的技术原理 4
3.1常见补偿方法的分类与概述 5
3.2自适应均衡技术在多径补偿中的应用 5
3.3分集技术对多径效应的抑制作用 5
3.5新兴补偿方法的技术优势与挑战 6
4多径效应补偿方法的性能评估与优化 7
4.1补偿方法的性能评价指标体系 7
4.2实验仿真与结果分析 7
4.3不同补偿方法的对比研究 8
4.4补偿方法在实际系统中的应用验证 8
4.5提升补偿效果的优化策略 9
结论 9
参考文献 11
致谢 12
无线通信作为现代信息社会的重要支柱，其性能受到多径效应的显著影响。多径效应源于信号在传播过程中经由不同路径到达接收端，导致信号叠加产生畸变，从而降低通信质量。为解决这一问题，本文系统研究了多径效应的成因、特性及其对无线通信系统的影响，并提出了一种基于智能算法的多径补偿方法。该方法结合自适应滤波与深度学习技术，通过构建多径信道模型并实时调整补偿参数，有效提升了信号的传输质量和系统稳定性。研究结果表明，所提方法能够在复杂多径环境下显著降低误码率，提高频谱效率，相较于传统补偿方案具有更高的适应性和鲁棒性。
关键词：多径效应 智能算法 深度学习
Abstract
As an important pillar of the modern information society, the performance of wireless communication is significantly affected by the multi-path effect. The multipath effect originates from the signal reaching the receiving end through different paths during the propagation process, resulting in the distortion of the signal superposition and thus reducing the communication quality. To solve this problem, this paper systematically study the causes and characteristics of multipath effect on wireless communication system, and propose a multipath compensation method based on intelligent algorithm. Combining adaptive filtering and deep learning technology, this method effectively improves the signal transmission quality and system stability by constructing the multi-path channel model and adjusting the compensation parameters in real time. The results show that the proposed method can significantly reduce the error rate and improve the spectral efficiency in a complex multi-path environment, which has more adaptability and robust than the traditional compensation scheme.
Keyword:Multi-Path Effect Intelligent Algorithm Deep Learning
目 录
1绪论 1
1.1无线通信中多径效应的研究背景 1
1.2多径效应及其补偿方法的研究意义 1
1.3国内外研究现状与发展趋势 1
1.4本文研究方法与技术路线 2
2多径效应的理论基础与特性分析 2
2.1无线信道中的多径传播机制 2
2.2多径效应对信号传输的影响 3
2.3多径效应的数学建模与分析 3
2.4不同场景下的多径效应特性 4
2.5多径效应的关键参数研究 4
3多径效应补偿方法的技术原理 4
3.1常见补偿方法的分类与概述 5
3.2自适应均衡技术在多径补偿中的应用 5
3.3分集技术对多径效应的抑制作用 5
3.5新兴补偿方法的技术优势与挑战 6
4多径效应补偿方法的性能评估与优化 7
4.1补偿方法的性能评价指标体系 7
4.2实验仿真与结果分析 7
4.3不同补偿方法的对比研究 8
4.4补偿方法在实际系统中的应用验证 8
4.5提升补偿效果的优化策略 9
结论 9
参考文献 11
致谢 12
