Time-domain Fine Channel Estimation Based on Broadband Burst Single-carrier Frequency Domain Equalization Transmission
WU Zhao① ZHANG Yu①② JIANG Long① SONG Jian③④
①(Department of Electronic Engineering, Tsinghua University, Beijing 100084, China) ②(National Laboratory for Information Science and Technology, Tsinghua University, Beijing 100084, China) ③(National Engineering Laboratory for DTV (Beijing), Beijing 100091, China) ④(Shenzhen City Key Laboratory of Digital TV System, Shenzhen 518000, China)
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.
GOLDSMITH A. Wireless Communications[M]. Cambridge University Press, New York, 2005: 316-319.
[2]
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.
[3]
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.
[4]
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.
[5]
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.
[6]
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.
[7]
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.
[8]
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.
[9]
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.
[10]
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.
[11]
YU H and YANG C. An improved DFT-based channel estimation for mobile communication systems[OL]. http:// arxiv.org/abs/1504.07510. 2015.
[12]
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.
JIANG Long, ZHANG Yu, and WAN Xiaofeng. Wireless burst communication channel estimation and realization on FPGA[J]. Video Engineering, 2010, 34(1): 94-96.
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.
[16]
Recommendation I. 1225, Guidelines for evaluation of radio transmission technologies for IMT-2000[J]. International Telecommunication Union, 1997.
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.
