利用自适应傅里叶分解的非平稳无线信道的时频表示  

Time-Frequency Representation for Non-Stationary Wireless Channel Using Adaptive Fourier Decomposition

作　　者：王赛飞 方勇 王军华 WANG Sai-fei;FANG Yong;WANG Jun-hua(Key Laboratory of Specialty Fiber Optics and Optical Access Networks,Shanghai Institute for Advanced Communication and Data Science,Shanghai University,Shanghai 200444,Chin)

机构地区：[1]上海大学,上海先进通信与数据科学研究院,特种光纤与光接入网重点实验室,上海200444

出　　处：《信号处理》2018年第6期749-755,共7页Journal of Signal Processing

基　　金：国家自然科学基金项目(61271213,61673253)资助课题

摘　　要：针对非平稳Clarke无线信道模型的时域冲激响应的性能分析需求,利用自适应傅里叶分解,引入了一种非平稳无线信道的时频表示方法和信道函数的重构表示,并给出了信道的单分量表示式、时间频率分布以及能量谱密度。在高速移动、快速时变环境下进行仿真,结果表明,本文提出的非平稳无线信道的表示方法能克服STFT、小波变换等相关方法的缺点,提高了无线信道时频表示的准确性,降低了信道的重构误差。Performance analysis for time-domain impulse response of non-stationary Clarke wireless channel model is crucial. In this paper,we introduce a time-frequency representation method and reconstruction representation of channel function for non-stationary wireless channel based on adaptive Fourier decomposition（ AFD）. The single component decomposition representation,the time-frequency distribution and the energy spectrum density are given based on the adaptive Fourier decomposition. According to the principle of minimum energy error,the reconstruction method of channel function is given.Simulation was carried out in high speed and fast time-varying environment. The results show that the proposed presentation algorithm of the non-stationary wireless channel can overcome the shortcomings of the related methods such as short time Fourier transform（ STFT） and wavelet transform（ WT）. It can also represent the time-frequency representation and reduce the reconstruction error of the wireless channel accurately.

关 键 词：自适应傅里叶分解 时频表示 无线信道 非平稳 

分 类 号：TN911.72[电子电信—通信与信息系统]