摘要
在研究5G广播标准协议的基础上,提出了基于离散傅里叶变换(DFT)降噪的主/辅同步信号(PSS/SSS)及小区参考信号(CRS)联合信道估计方法,可以在低信噪比、大频偏和高信道动态变化的场景下,准确地估计出物理广播信道(PBCH)的信道状态信息.仿真结果表明:所提出的信道估计方法的性能优于传统方法,有效地提升了5G广播系统中PBCH的信道估计能力.
Depending on the current standard protocols for 5G broadcasting system,a joint estimation method based on primary/secondary synchronization signal(PSS/SSS)and cell reference signal(CRS)was proposed in this paper,which used discrete Fourier transform(DFT)to reduce noise.The PBCH channel state could be estimated more accurately in the scene of low signal-to-noise ratio,large frequency deviation and high channel dynamic changes by the above method.The simulation results showed that the proposed estimation methods performed better than the traditional schemes,by which the PBCH channel estimation ability in the 5G broadcasting system could be improved significantly.
作者
李春一
LI Chunyi(School of Electronic Information and Electrical Engineering,Shanghai Jiao Tong University,Shanghai 200240,China)
出处
《上海师范大学学报（自然科学版）》
2022年第2期193-203,共11页
Journal of Shanghai Normal University(Natural Sciences)
基金
国家自然科学基金青年项目(62101322)。
