Blind equalization of underwater acoustic channel using a novel double mode constant modulus algorithm

2005 ◽  
Author(s):  
Ye-Cai Guo ◽  
Zhi-Xiang Yin ◽  
Yi Guo ◽  
Yin-Ge Han ◽  
Rao Wei
Keyword(s):  
Blind Equalization ◽  
Constant Modulus ◽  
Constant Modulus Algorithm ◽  
Underwater Acoustic Channel ◽  
Underwater Acoustic ◽  
Acoustic Channel

A New Blind Equalization Algorithm Suitable for Sparse Underwater Acoustic Channel

2012 ◽  
Vol 195-196 ◽  
pp. 149-153
Author(s):  
Ting Ting Zhu ◽  
Xiao Tao Jiao
Keyword(s):  
Blind Equalization ◽  
Constant Modulus ◽  
Shallow Sea ◽  
Underwater Acoustic Channel ◽  
Underwater Acoustic ◽  
Acoustic Channel ◽  
Equalization Algorithm ◽  
Long Time ◽  
Simulation Results ◽  
Sparse Underwater Acoustic Channel

The Constant Modulus Algorithms is a mature algorithm for a long time. The researchers are fond of its solidity. But in the area of shallow sea or blue sea, the CMA has poor constringency. In this passage, based on a improved blind equalization algorithm, we proposed a new algorithm which suitable for sparse underwater acoustic channel. The computer simulation results demonstrate fast convergence and fewer accounts.

New Concurrent Fractionally-Spaced Blind Equalization

2010 ◽  
Vol 108-111 ◽  
pp. 363-368 ◽  
Author(s):  
Wei Rao ◽  
Ye Cai Guo ◽  
Min Chen ◽  
Wen Qun Tan ◽  
Jian Bing Liu ◽  
...  
Keyword(s):  
Steady State ◽  
Convergence Rate ◽  
Mean Square Error ◽  
Blind Equalization ◽  
Mean Square ◽  
Constant Modulus ◽  
Constant Modulus Algorithm ◽  
Underwater Acoustic ◽  
Underwater Acoustic Channels ◽  
Simulation Results

The paper proposes a concurrent constant modulus algorithm (CMA) and decision-directed (DD) scheme for fractionally-spaced blind equalization. The proposed algorithm makes full use of the advantages of CMA and DD algorithm. A novel rule to control the adjustment of DD’s tap weights vector is proposed which avoids the hard switch between CMA and DD in practice. Simulations with underwater acoustic channels are used to compare the proposed algorithm with the famous CMA. And the simulation results show that the proposed algorithm has faster convergence rate and lower steady state mean square error.

Autoregressive model of an underwater acoustic channel in the frequency domain

2022 ◽  
Vol 185 ◽  
pp. 108397
Author(s):  
Biao Liu ◽  
Ning Jia ◽  
Jianchun Huang ◽  
Shengming Guo ◽  
Dong Xiao ◽  
...  
Keyword(s):  
Frequency Domain ◽  
Autoregressive Model ◽  
Underwater Acoustic Channel ◽  
Underwater Acoustic ◽  
Acoustic Channel
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