Paper Info
Title
Improved Channel Estimation for TDS-OFDM Based on Flexible Frequency-Binary Padding
Abstract
By adopting the pseudo-random noise (PN) sequences as the guard interval (GI) as well as the training sequence, time domain synchronous orthogonal frequency division multiplexing (TDS-OFDM) outperforms the conventional OFDM using the cyclic prefix (CP) in the spectral efficiency at the cost of the iterative padding subtraction (IPS) in channel estimation (CE). To avoid the high computational complexity of the IPS, an improved frequency domain CE scheme based on a newly designed frame structure is proposed. To further improve the CE accuracy, the time domain training sequences, which are frequency binary (FB) after the fast Fourier transform (FFT), are flexibly padded as the frame header instead of the PN sequences. Theoretical analyses and computer simulations show that the proposed scheme can improve the system performance under the time frequency doubly selective channels, even in the presence of large channel delays in the single frequency networks.
Year
DOI
Venue
2010
10.1109/TBC.2010.2053970
TBC
Keywords
DocType
Volume
pseudo-random noise sequence,Channel estimation (CE),time-frequency doubly selective channel,frequency domain CE scheme,fast Fourier transform,frequency binary (fb) sequence,time domain synchronous orthogonal frequency division multiplexing (TDS-OFDM),OFDM modulation,channel estimation (ce),time domain training sequences,time domain synchronous orthogonal frequency division multiplexing,time domain synchronous orthogonal frequency division multiplexing (tds-ofdm),frequency binary (FB) sequence,cyclic prefix,iterative padding subtraction,IPS,TDS-OFDM,guard interval,time frequency doubly selective channel,flexible frequency-binary padding,fast Fourier transforms,iterative methods,channel estimation
Journal
56
Issue
ISSN
Citations 
3
0018-9316
11
PageRank 
References 
Authors
0.81
10
5
Name
Order
Citations
PageRank
Zhixing Yang1100387.79
Xiaoqing Wang2388.28
Zhaocheng Wang32359147.30
Jiangzhou Wang42674212.44
Jun Wang555053.49