摘要
为实现正交频分复用(Orthogonal Frequency Division Multiplexing,OFDM)系统的时域同步,本文利用ZC(Zadoff-Chu)序列提出了类奈曼-皮尔逊检验加权的l_p(p=1或2)相关(Neyman-Pearson-like test Weighted l_p-Correlation,l_p-NPWC)同步算法.分析表明:该算法利用类奈曼-皮尔逊检验能有效抑制多径效应对l_p相关同步的影响,特别地,当取p=1时,它对重尾分布噪声及循环前缀导致的伪峰具有极强的鲁棒性.实验及仿真结果均证明了理论分析的正确性和有效性,并表明本文算法相较于现有算法在各种干扰环境中均具有更高的同步精度和性能.
An interference robust synchronization algorithm with Neyman-Pearson-like test weighted l_p-Correlation(l_p-NPWC) for the timing synchronization of an Orthogonal Frequency Division Multiplexing(OFDM) system is presented by a Zadoff-Chu(ZC) sequence.The analytical results showthat our Neyman-Pearson-like test weighted synchronization algorithm can reduce the multipath effects on the l_pcorrelation synchronization,where p = 1 or 2.Especially,when p = 1,it is found that our algorithm is robust to the noise with a heavy-tailed distribution and fake peaks caused by a cyclic prefix.Both experiment and simulation results verify the effectiveness of analytical ones,while our algorithm is shown with higher synchronization accuracy than those of the known ones in literature.
出处
《电子学报》
EI
CAS
CSCD
北大核心
2017年第11期2575-2581,共7页
Acta Electronica Sinica
基金
国家自然科学基金(No.61571131)
关键词
正交频分复用
ZC序列
时延估计
lp相关
奈曼-皮尔逊检验
重尾噪声
多径效应
orthogonal frequency division multiplexing(OFDM)
ZC sequence
timing offset estimation
lp-correlation
Neyman-Pearson test
heavy-tailed noise
multipath effect