太赫兹科学与电子信息学报2017，Vol.15Issue(3)：409-416,8.DOI:10.11805/TKYDA201703.0409
一种基于信道缩短的深衰落稀疏均衡改进算法
Adaptive equalization algorithm for deep fading sparse multipath channel based on channel shortening
摘要
Abstract
A modified adaptive sparse equalization algorithm based on channel shortening is proposed for deep fading sparse multipath channel under low signal-to-noise ratio. The algorithm performs equalization by cascading a front-end fractional-spaced channel shortening equalizer with a back-end adaptive sparse equalizer. Firstly, the short training sequence is utilized to design the minimum mean square error based front-end equalizer, then the sparse multipath channel is first equalized to an equivalent channel whose energy focuses on a short period and distributes sparsely by the front-end equalizer, partially effectively compensating the deep fading distortion of the original channel. Secondly, the back-end equalizer adopts stochastic gradient pursuit algorithm which can recover sparse signal to update coefficients, eliminating the residual inter-symbol interference of the equivalent channel. Simulation results show that compared with single-stage fractional-spaced adaptive equalizer, the present algorithm provides superior performance by increasing the convergence rate and decreasing the computation.关键词
深衰落稀疏多径信道/较低信噪比/信道缩短/稀疏均衡/压缩感知Key words
deep fading sparse multipath channel/low signal-to-noise ratio/channel shortening/sparse equalization/compressed sensing分类
信息技术与安全科学引用本文复制引用
马思扬,彭华..一种基于信道缩短的深衰落稀疏均衡改进算法[J].太赫兹科学与电子信息学报,2017,15(3):409-416,8.基金项目
国家自然科学基金资助项目(61401511) （61401511）
