时变通信稀疏信道高精度估计方法仿真  

Simulation of High-precision Estimation Methods for Time-varying Communication Sparse Channels

作　　者：盛华挺 吕娜 张立峰 SHENG Hua-ting;LV Na;ZHANG Li-feng(School of computing,Hangzhou Dianzi University,Zhejiang Hangzhou 310012,China;College of Electrical Engineering,Zhejiang Sci-Tech University,Zhejiang Hangzhou 310012,China;Zhejiang Sci-Tech University,Zhejiang Hangzhou 310012,China)

机构地区：[1]杭州电子科技大学计算机学院,浙江杭州310012 [2]浙江理工大学电气工程学院,浙江杭州310012 [3]浙江理工大学,浙江杭州310012

出　　处：《计算机仿真》2024年第9期233-237,共5页Computer Simulation

基　　金：浙江华云信息科技有限公司重大科研项目《新型电力系统背景下的精细化负荷成分及影响因子分析研究》(项目编号:R202210-0501043-0041)。

摘　　要：无线信道环境愈发复杂,信道质量直接影响接收机对信号的处理性能与系统通信能力,由此提出一种基于压缩传感的时变通信信道估计算法优化策略。推算子载波接收信号信噪比,运用动态子信道选择方法检测信号特征;计算正交频分复用符号周期的抽头增益均值,利用周期前缀模式消除多信道码间干扰,建立时变通信信道频域传递模型,明确时变通信环境状态;使用压缩传感算法计算信号稀疏特征,采用步长因子参数控制稀疏度实施子空间迭代跟踪,搜索最恰当的输入信号稀疏性原子,最后使用模糊阈值优化原子特征并重构初始信号,得到高精度信道估计结果。仿真实验证明,所提算法通信信道估计误差小,能够为无线通信的可靠应用提供参考。The environment of wireless channel is becoming increasingly complex,and the channel quality directly affects the signal processing performance and system communication ability of receivers.Therefore,an optimization strategy for estimation algorithm of time-varying communication channel based on compressed sensing was proposed.Firstly,we calculated the signal-to-noise ratio of the received subcarrier signal,and then used dynamic subchannel selection method to detect signal features.Secondly,we calculated the average tap gain of the orthogonal frequency division multiplexing symbol period.Thirdly,we used the periodic prefix mode to eliminate the multi-channel inter-symbol interference.Moreover,we constructed a frequency-domain transfer model of time-varying communication channel,thus clarifying the state of time-varying communication.Furthermore,we used the compressed sensing algorithm to calculate the sparsity features of signal.Meanwhile,we used step factor parameters to control the sparsity and implemented the subspace iterative tracking,thus searching for the most appropriate sparsity atoms of input signal.Finally,we used the fuzzy thresholds to optimize atomic features and reconstruct the initial signal,thus obtaining high-precision estimation results.The simulation results show that the proposed algorithm has small estimation error of communication channel and can provide reference for reliable applications in wireless communication.

关 键 词：压缩传感 时变通信 信道估计 匹配追踪 信噪比 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]