计算机应用与软件Issue(2)：98-101,4.DOI:10.3969/j.issn.1000-386x.2016.02.024
基于改进贝叶斯压缩感知的正交频分复用系统信道估计
OFDM SYSTEMS CHANNEL ESTIMATION BASED ON IMPROVED BAYESIAN COMPRESSIVE SENSING
摘要
Abstract
Orthogonal frequency division multiplexing (OFDM)systems use traditional compressed sensing algorithm to make channel estimation,this needs the information such as the known channel sparsity,etc.,and the algorithm has high complexity and long reconstruction time as well.To solve these problems,we proposed to improve Bayesian compressive sensing algorithm for OFDM channel estimation.The proposed algorithm converts the OFDM’s channel estimation to Bayesian compressive sensing reconstruction problem.Under the condition of not knowing the channel sparsity information in advance,it gets the channel estimation values and error range by optimising the basis function selection in reconstruction process and gradually adding the basis function from one to all rather than deleting,this makes the algorithm have higher speed in convergence.Simulation results indicated that compared with traditional channel estimation algorithm,the proposed algorithm did not need sparsity information of channel and had higher reconstruction accuracy,better estimation performance in lower signal-to-noise ratio condition.It improved the operation speed and reduced the complexity.关键词
改进贝叶斯压缩感知/信道估计/正交频分复用/基函数选择Key words
Improved Bayesian compressive sensing/Channel estimation/OFDM/Basis function selection分类
信息技术与安全科学引用本文复制引用
常苗苗,周金和..基于改进贝叶斯压缩感知的正交频分复用系统信道估计[J].计算机应用与软件,2016,(2):98-101,4.基金项目
国家自然科学基金项目（61271198）；北京市自然科学基金项目（4131003）。 （）
