DocumentCode :
3698896
Title :
Bidirectional blind equalization based on the constant modulus and subspace-based algorithms
Author :
Junyi Xi;Shefeng Yan;Lijun Xu;Jing Tian
Author_Institution :
Institute of Acoustics, Chinese Academy of Sciences, Beijing, China
fYear :
2015
Firstpage :
1
Lastpage :
5
Abstract :
A bidirectional blind equalization based on the constant modulus algorithm (CMA) and subspace-based algorithm (SBA) is proposed in this paper. Without any training sequence or channel estimation, blind equalization improves the transmission efficiency significantly in underwater acoustic communications. The combining scheme in which two outputs run in opposite directions exploits the diversity and suppresses the error propagation. Moreover, a single-input multiple-output (SIMO) system is adopted in the algorithm to obtain the multiple receivers diversity gain and achieves a much better performance. The simulation results demonstrate that the proposed bidirectional CMA shows much better performance in a high SNR than that in a low SNR, and the bidirectional SBA outperforms the conventional method by approximately 2dB in BPSK system and 2.5dB in QPSK system.
Keywords :
"Blind equalizers","Binary phase shift keying","Training","Algorithm design and analysis","Signal to noise ratio","Convergence"
Publisher :
ieee
Conference_Titel :
Signal Processing, Communications and Computing (ICSPCC), 2015 IEEE International Conference on
Print_ISBN :
978-1-4799-8918-8
Type :
conf
DOI :
10.1109/ICSPCC.2015.7338787
Filename :
7338787
Link To Document :
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