姚雨丰
上海海事大学信息工程学院 上海 201306
基金项目:国家自然科学基金(61673259)
详细信息
作者简介:张颖：男，1968年生，博士，教授，博士生导师，研究方向为物联网、海事无线通信、无线自组织网络
姚雨丰：男，1995年生，硕士生，研究方向为海事无线通信信道估计、无线信号传输技术
通讯作者:张颖 yingzhang@shmtu.edu.cn
中图分类号:TN911计量
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被引次数:0
出版历程
收稿日期:2019-02-21
修回日期:2019-09-01
网络出版日期:2019-09-06
刊出日期:2020-02-19
Channel Estimation Algorithm of Maritime Sparse Channel Based on Fast Bayesian Matching Pursuit Optimization
Ying ZHANG,,Yufeng YAO
College of Information Engineering, Shanghai Maritime University, Shanghai 201306, China
Funds:The National Natural Science Foundation of China (61673259)
摘要
摘要:正交频分复用(OFDM)系统中，由于频率发生选择性衰落会导致信道在数据传输中产生符号间干扰，因此接收机往往需要知道信道状态信息。而在海上通信的情况下，信道传输会受到多种外界因素的干扰，往往需要预先进行信道探测估计。为了提高估计性能，该文提出一种基于奇异值分解优化观测矩阵的快速贝叶斯匹配追踪稀疏信道估计优化算法(FBMPO)，该算法不仅能够充分考虑海上通信的信道稀疏性，也能够降低信道的不确定性带来的影响。计算机仿真实验表明，与传统的信道估计算法相比，该算法能够提高信道估计的精确度。
关键词:信道估计/
贝叶斯准则/
稀疏信道/
匹配追踪
Abstract:In the Orthogonal Frequency Division Multiplexing (OFDM) system, the receiver often needs to know the channel state information, because the frequency selective fading channel will generate inter-symbol interference in the data transmission. In the case of maritime communication, the method of channel estimation is often needed to detect the channel subjected to the interference of various external factors. In order to improve the estimation performance, the Fast Bayesian Matching Pursuit based on singular-value-decomposition for Optimizing observation matrix (FBMPO) is proposed, which fully considers not only the sparse channel of maritime communication, but also reduces the influence of uncertainty of the unpredictable channel. Computer simulation shows, compared with traditional channel estimation algorithms, the proposed algorithm can effectively improve the accuracy of channel estimation.
Key words:Channel estimation/
Bayesian criterion/
Sparse channel/
Matching pursuit
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