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1. 中国电子科技集团公司 第五十四研究所,河北 石家庄 050081
2. 国防科学技术大学 电子科学与工程学院,湖南 长沙 410073
[ "李啸天(1986-),男,河北石家庄人,中国电子科技集团公司第五十四研究所博士生,主要研究方向为通信信号处理。" ]
[ "雷菁(1968-),女,陕西西安人,博士,国防科学技术大学教授、硕士生导师,主要研究方向为信息论与编码、物理层安全等。" ]
[ "刘伟(1979-),男,湖南邵东人,博士,国防科学技术大学讲师,主要研究方向为MIMO-OFDM技术、空时编码、物理层安全。" ]
[ "李艳斌(1966-),男,河北石家庄人,博士,中国电子科技集团公司研究员、博士生导师,主要研究方向为电子对抗总体技术。" ]
[ "张润生(1984-),男,河北保定人,博士,中国电子科技集团公司第五十四研究所工程师,主要研究方向为通信信号处理。" ]
网络出版日期:2015-05,
纸质出版日期:2015-05-25
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李啸天, 雷菁, 刘伟, 等. 平坦慢衰落信道下基于HOS的PSK调制盲信道估计[J]. 通信学报, 2015,36(5):140-147.
IXiao-tian L, EIJing L, LIUWei ,, et al. High-order statistics based blind channel estimation for PSK modulation in flat and slow fading channels[J]. Journal on communications, 2015, 36(5): 140-147.
李啸天, 雷菁, 刘伟, 等. 平坦慢衰落信道下基于HOS的PSK调制盲信道估计[J]. 通信学报, 2015,36(5):140-147. DOI: 10.11959/j.issn.1000-436x.2015110.
IXiao-tian L, EIJing L, LIUWei ,, et al. High-order statistics based blind channel estimation for PSK modulation in flat and slow fading channels[J]. Journal on communications, 2015, 36(5): 140-147. DOI: 10.11959/j.issn.1000-436x.2015110.
提出一种基于符号高阶统计量(HOS
high-order statistics)的MPSK调制信道衰落系数盲估计算法。针对平坦慢衰落信道模型,首先分析了MPSK调制符号高阶统计量特征,证明了MPSK调制符号的M次方符号的值是唯一的,而当1≤M′<M时,调制符号的M'次方符号在复平面上是对称分布的;之后利用此特征推导出MPSK调制阶数、初始相位和衰落系数估计算法。仿真实验表明,信噪比高于12 dB条件下,HOS算法估计性能与目前平坦慢衰落信道盲估计的主流方法Lloyd-Max算法相同,而算法复杂度为Lloyd-Max算法的1/50,并且在接收样本符号较少的条件下HOS算法的均方误差曲线收敛于最小二乘估计理论下界。
A blind channel estimator based on high-order statistics (HOS) of PSK constellations was proposed.For flat and slow fading channels
firstly
the high-order statistics of PSK constellations with different alphabet size M was ana-lyzed.The M
th
power symbols of MPSK constellations are same
whereas the M
th
power symbols are symmetrically dis-tributed on the complex plane when 1≤M′<M.Secondly
the estimation algorithms of alphabet size M
initial phase and fading coefficient were introduced based on the characteristics above.Finally
simulation results show that when SNR>12 dB
the proposed algorithm has the same estimation performance as the optimal Lloyd-Max algorithm
while the complexity is only 1/50 of Lloyd-Max algorithm.Moreover
the proposed algorithm's mean-square error curve converges remarkably to the least squares (LS) bound on the condition of less
received symbols.
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