新型电力系统环境下FBMC系统信道估计  

Channel Estimation for FBMC System in New Power System Environment

作　　者：刘京 田博彦 刘远龙 刘红日[3] 王文婷 LIU Jing;TIAN Boyan;LIU Yuanlong;LIU Hongri;WANG Wenting(State Grid Shandong Electric Power Research Institute,Jinan 250003,China;State Grid Shandong Electric Power Company,Jinan 250001,China;Harbin Institute of Technology,Weihai,Weihai 264209,China)

机构地区：[1]国网山东省电力公司电力科学研究院,山东济南250003 [2]国网山东省电力公司,山东济南250001 [3]哈尔滨工业大学(威海),山东威海264209

出　　处：《山东电力技术》2023年第8期67-73,共7页Shandong Electric Power

基　　金：国网山东省电力公司科技项目“多类型可调节资源接入电力监控系统的安全防护技术研究及应用”(520626220029)。

摘　　要：移动无线通信在新型电力系统的发电、输电、配电、变电、用电等环节中都有着广泛的应用场景,滤波器组多载波(Filter Bank Multi-carrier,FBMC)技术作为一种新型无线通信方式,相比4G应用的正交频分复用(Orthogonal Frequency Division Multiplexing,OFDM)技术有着频带利用率高、带外功率泄漏低、无须循环前缀等优点,但也存在计算复杂度高、虚部干扰难以消除等缺点,对信道估计环节接收信号的恢复造成影响。为高效解决FBMC系统信道估计问题,结合压缩感知思想,利用稀疏度自适应匹配追踪(Sparse Adaptive Match Pursuit,SAMP)算法与离散傅里叶变换(Discrete Fourier Transform,DFT)算法,设计并完成信号恢复实验以及FBMC系统信道估计仿真实验,随机信号恢复实验验证了SAMP算法的重构性能,在FBMC系统信道估计仿真实验中,将提出的算法与SAMP、子空间追踪(Subspace Pursuit,SP)、正交匹配追踪(Orthogonal Matching Pursuit,OMP)等常见压缩感知算法充分比较,结果证明该算法相比其他传统算法有更低的误码率和更低的均方误差。Mobile wireless communication has a wide range of application scenarios in the power generation,transmission,distribution and consumption of new power system.As a new wireless communication mode,filter bank multi-carrier(FBMC)technology has advantages of high bandwidth utilization,low out of band leakage,and no need for cyclic prefix compared with the orthogonal frequency division multiplexing(OFDM)technology used in 4G applications.But there are also drawbacks,such as high computational complexity and difficulty in eliminating imaginary interference,which affect the recovery of received signal in the channel estimation link.In order to efficiently solve the channel estimation problem of FBMC system,combining the idea of compressed sensing,we use the sparse adaptive match pursuit(SAMP)algorithm and discrete Fourier transform(DFT)algorithm to design and complete signal recovery experiments and channel estimation simulation experiments of FBMC system.The reconstruction performance of SAMP algorithm is verified in the random signal recovery experiments.The proposed algorithm is fully compared with common compressive sensing algorithms,such as the original SAMP,subspace pursuit(SP),orthogonal matching pursuit(OMP)in the channel estimation simulation experiment of FBMC system.The results show that the proposed algorithm has lower bit error rate and lower mean square error than other traditional algorithms.

关 键 词：新型电力系统 滤波器组多载波 压缩感知 离散傅里叶变换 

分 类 号：TN92[电子电信—通信与信息系统]