摘要
针对存在量化影响下的正交频分复用系统信道估问题,首先提出利用全相位FFT的ΣΔ量化噪声整形方法,基于信道稀疏性和压缩感知降低噪声大小;然后针对在量化噪声影响下的OFDM系统提出压缩感知信道算法.仿真结果表明,该算法具有良好的估计性能,同时可进一步降低系统噪声大小.
Aiming at the channel estimation problem of Orthogonal Frequency Division Multiplexing( OFDM) system under the influence of quantization,the Σ Δ quantization noise shaping method using full-phase FFT is firstly proposed to reduce the noise based on channel sparsity and compression perception. Then,OFDM system proposed in this paper compressed perceptual channel algorithm.Simulation shows that the proposed algorithm has good estimation performance and can further reduce the system noise.
作者
郭翠娟
毕长浩
GUO Cui-juan, BI Chang-hao(School of Electronics and Information Engineering ,Tianjin Polytechnic University ,Tianjin 300387, Chin)
出处
《云南大学学报(自然科学版)》
CAS
CSCD
北大核心
2018年第3期451-457,共7页
Journal of Yunnan University(Natural Sciences Edition)
基金
国家自然科学基金(61405144)
天津市科技特派员项目(16JCTPJC48100
16JCTPJC47200)
关键词
正交频分复用
全相位FFT
压缩感知
信道估计
orthogonal frequency division multiplexing
all-phase FFT
compressed sensing
channel estimation