基于宽带突发单载波频域均衡传输的时域精细信道估计方法

吴钊; 张彧; 姜龙; 宋健

doi:10.11999/JEIT150682

基于宽带突发单载波频域均衡传输的时域精细信道估计方法

doi: 10.11999/JEIT150682

吴钊¹,
张彧²,
姜龙¹,
宋健²

1.
(清华大学电子工程系北京 100084) ②(清华大学信息科学与技术国家实验室北京 100084) ③(数字电视国家工程实验室(北京) 北京 100091) ④(深圳市数字电视系统重点实验室深圳 518000)

基金项目:

国家973科技项目 (2012CB316000)，国家重大专项(2015ZX03002008)，国家电网项目([2015]404-41)

计量
- 文章访问数: 1315
- HTML全文浏览量: 130
- PDF下载量: 418
- 被引次数: 0
出版历程
- 收稿日期: 2015-06-08
- 修回日期: 2016-01-04
- 刊出日期: 2016-05-19

Time-domain Fine Channel Estimation Based on Broadband Burst Single-carrier Frequency Domain Equalization Transmission

1.
(Department of Electronic Engineering, Tsinghua University, Beijing 100084, China)

Funds:

The National 973 Project of China (2012CB 316000), The National Science and Technology Major Project?of China (2015ZX03002008), The National Power Grid Technology Project of China ([2015]404-41)

摘要

摘要: 单载波频域均衡(SC-FDE)是宽带无线通信系统中一种具有竞争力的解决方案，获得了广泛的关注和研究。SC-FDE方案不仅抗多径能力出色、复杂度低，且具有比正交频分复用(OFDM)信号更低的峰均比值。在突发SC- FDE系统中，接收机需要利用训练序列快速获取信道的特征信息，以避免解调性能损失。传统的基于训练序列的信道估计方法并不适合宽带猝发SC-FDE系统，难以兼顾估计准确性和复杂度。该文提出一种基于时域训练序列的精细信道估计方法。该方法利用时域PN序列得到信道参数的最大似然估计值，并利用信道稀疏的特征，根据信道噪声强度对信道估计值进行噪声抑制处理。仿真表明：与传统信道估计方法相比，该信道估计方法能取得更高的估计精度，且具有较低的实现复杂度。
- 无线通信 /
- 单载波频域均衡 /
- 突发传输 /
- 信道估计 /
- 训练序列
Abstract: Single Carrier-Frequency Domain Equalization (SC-FDE) is a competitive alternative for broadband wireless communication systems, which has attracted wide attention and extensive research. As an effective technical solution to cope with multipath effects, SC-FDE shows low complexity and has low signal peak to average power ratio compared with OFDM signals. In burst SC-FDE systems, channel information is required at the receivers to avoid the performance loss of demodulations. Traditional channel estimation methods based on training sequences are not very suitable for broadband burst SC-FDE system. In this paper, a fine channel estimation method based on the time-domain training sequence is proposed. Channel parameters are obtained with the aid of time domain PN sequence based on maximum likelihood criteria. Besides, the noise suppression process is performed for channel estimation values on account of the channel noise strength. Simulation results demonstrate that the proposed channel estimation method can significantly reduce the Bit Error Rate (BER) of signal reception while maintaining low realization complexity.
- Wireless communication /
- Single Carrier-Frequency Domain Equalization (SC-FDE) /
- Burst transmission /
- Channel estimation /
- Training sequence

HTML全文

参考文献(19)

GOLDSMITH A. Wireless Communications[M]. Cambridge University Press, New York, 2005: 316-319.

SOUTO N, DINIS R, and SILVA J C. Impact of channel estimation errors on SC-FDE systems[J]. IEEE Transactions on Communications, 2014, 62(5): 1530-1540.

WANG J, YANG Z X, PAN C Y, et al. Iterative padding subtraction of the PN sequence for the TDS-OFDM over broadcast channels[J]. IEEE Transactions on Consumer Electronics, 2005, 51(4): 1148-1152.

LARSSON E G, LIU G, LI J, et al. Joint symbol timing and channel estimation for OFDM based WLANs[J]. IEEE Communications Letters, 2001, 5(8): 325-327.

FERNANDEZ-Getino GARCIA M J, PAEZ-Borrallo J M, and ZAZO S. DFT-based channel estimation in 2D-pilot- symbol-aided OFDM wireless systems[C]. Proceedings of 2001 IEEE Vehicular Technology Conference (VTC), Rhodes Island, Greece, 2001, 2: 810-814.

KANG Y, KIM K, and PARK H. Efficient DFT-based channel estimation for OFDM systems on multipath channels [J]. IET Communications, 2007, 1(2): 197-202.

YANG F, WANG J, WANG J, et al. Novel channel estimation method based on PN sequence reconstruction for Chinese DTTB system[J]. IEEE Transactions on Consumer Electronics, 2008, 54(4): 1583-1589.

MA X L, FAN T L, and DU Y F. An improved DFT-based channel estimation algorithm for OFDM system on time- varying multipath fading channels[J]. Advanced Materials Research, 2014, 989: 3786-3789.

XIONG X, JIANG B, GAO X, et al. DFT-based channel estimator for OFDM systems with leakage estimation[J]. IEEE Communications Letters, 2013, 17(8): 1592-1595.

KIM K J, HWANG H G, CHOI K J, et al. Low-complexity DFT-based channel estimation with leakage nulling for OFDM systems[J]. IEEE Communications Letters, 2014, 18(3): 415-418.

FAHMY Y A, HAFEZ H, and KHARIY M M. Time domain leakage in DFT-based channel estimation for OFDM systems with guard bands[J]. International Journal of Communication Systems, 2015, 28(2): 250-261.

张旭东, 陆明泉. 离散随机信号处理[M]. 北京: 清华大学出版社, 2005: 56-59.

姜龙, 张彧, 万晓峰. 无线突发通信信道估计及FPGA实现方法[J]. 电视技术, 2010, 34(1): 94-96.

JIANG Long, ZHANG Yu, and WAN Xiaofeng. Wireless burst communication channel estimation and realization on FPGA[J]. Video Engineering, 2010, 34(1): 94-96.

戚晨皓, 吴乐南, 朱鹏程. 认知无线电中的稀疏信道估计与导频优化[J]. 电子与信息学报, 2014, 36(4): 763-768.

QI Chenhao, WU Lenan, and ZHU Pengcheng. Sparse channel estimation and pilot optimization for cognitive radio[J]. Journal of Electronics Information Technology, 2014, 36(4): 763-768.

Recommendation I. 1225, Guidelines for evaluation of radio transmission technologies for IMT-2000[J]. International Telecommunication Union, 1997.

于洋, 谭学治. 基于信道分类和自适应调制编码的认知无线电决策引擎[J]. 电子与信息学报, 2014, 36(2): 371-376.

YU Yang and TAN Xuezhi. Cognitive radio decision engine based on channel classification and adaptive modulation and coding[J]. Journal of Electronics Information Technology, 2014, 36(2): 371-376.

施引文献

资源附件(0)

访问统计