摘要
在OFDM系统中,传统的基于DFT的信道估计不能使循环前缀内的噪声得到有效的抑制.为解决此问题,在分析利用不同的时域阈值来抑制噪声的算法缺点和不足的基础上,提出了一种新的将噪声样本点能量的中位数作为时域阈值的DFT信道估计算法.仿真实验表明,所提算法在大脉冲噪声情况下,可以很好地解决信道有效样本点被滤除的问题,且能使循环前缀内的噪声得到有效抑制,误码率和均方误差得到进一步降低,提高了信道估计的准确性.
Conventional DFF-based channel estimations algorithm cannot suppress noise inside the CP. To solve the problem, a new DFT channel estimation algorithm, which took the median of the energy of all the time domain noise samples point as threshold, was proposed by analyzing shortcomings and deficiencies of these algorithms with many different thresholds to suppress noise. Simulation results showed that the proposed algorithms could effectively solve the problem that the significant channel samples were filtered under big impulse noise. What＇ s more, the noise inside the CP was suppressed effectively, and the bit error rate and mean square error were further decreased, resulting in the improvement of the channel estimation accuracy.
出处
《东北大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2014年第10期1400-1403,共4页
Journal of Northeastern University(Natural Science)
基金
国家自然科学基金资助项目(11273001
61273164
61074073)
关键词
正交频分复用
循环前缀
信道估计
时域阈值
离散傅里叶变换
orthogonal frequency division multiplexing
cyclic prefix
channel estimation
time-domain threshold
DFF
