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[ "邹奇峰,男,哈尔滨工业大学电子与信息工程学院博士生,主要研究方向为宽带无线通信、信道估计与均衡。" ]
[ "谭学治,男,哈尔滨工业大学电子与信息工程学院通信技术研究所副所长、教授、博士生导师,主要研究方向为移动通信系统、无线网络及传输、专用无线通信系统、认知无线电。" ]
[ "刘梅,女,哈尔滨工业大学电子与信息工程学院教授、博士生导师,主要研究方向为阵列信号处理、多传感器数据融合、空间通信技术。" ]
[ "迟永刚,男,哈尔滨工业大学电子与信息工程学院副教授、硕士生导师,主要研究方向为扩展频谱通信理论、通信对抗理论、卫星导航定位理论与应用。" ]
网络出版日期:2014-08,
纸质出版日期:2014-08-15
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邹奇峰, 谭学治, 刘梅, 等. 宽带SC-FDE系统低复杂度二维信道估计算法[J]. 电信科学, 2014,30(8):93-98.
Qifeng Zou, Xuezhi Tan, Mei Liu, et al. Low Complexity Two-Dimensional Channel Estimation Algorithm for Broadband SC-FDE System[J]. Telecommunications science, 2014, 30(8): 93-98.
邹奇峰, 谭学治, 刘梅, 等. 宽带SC-FDE系统低复杂度二维信道估计算法[J]. 电信科学, 2014,30(8):93-98. DOI: 10.3969/j.issn.1000-0801.2014.08.015.
Qifeng Zou, Xuezhi Tan, Mei Liu, et al. Low Complexity Two-Dimensional Channel Estimation Algorithm for Broadband SC-FDE System[J]. Telecommunications science, 2014, 30(8): 93-98. DOI: 10.3969/j.issn.1000-0801.2014.08.015.
单载波频域均衡系统因具有峰均比低、适用于高速率传输的优势,具有广泛的应用前景,同时对其信道估计性能也提出了一定的要求。针对传统一维MMSE估计算法性能较差,而二维算法运算复杂度又较高的问题,依据信道的时频分离特性提出了一种低复杂度二维MMSE信道估计算法。将二维估计转化为两个一维估计,再通过改进的SVD 算法减小一维估计的复杂度,并通过在帧结构插入特殊字(UW)序列作为循环前缀来减小系统开销,进行噪声方差估计。理论分析及仿真结果表明,本文算法比传统的LS及MMSE信道估计算法在未编码系统及编码系统中的性能都更好,且运算复杂度比传统一维MMSE算法更低。
Single carrier frequency domain equalization(SC-FDE)is widely recognized as an very promising technique for its lower peak-to-average power ratio
but it also needs more accurate channel estimation method. A low complexity two-dimensional MMSE channel estimation algorithm based on time-frequency domain separation feature of channel was proposed in order to improve estimation performance and predigest the complexity. The two-dimensional MMSE estimation can be simplified as two one-dimensional MMSE and the SVD algorithm was used to reduce the complexity of one-dimensional estimation. The UW as the cyclic prefix could reduce the overhead of system. Noise variance was also estimated at the UW. The simulation results show that the proposed algorithm has better performance than the conventional LS algorithm and MMSE algorithm. The complexity of the proposed algorithm was also lower than the conventional one-dimensional MMSE method.
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