Blind channel equalization using modified constant modulus algorithm

2016 ◽  
Author(s):  
Prakhar Priyadarshi ◽  
C. S. Rai
Keyword(s):  
Channel Equalization ◽  
Constant Modulus ◽  
Constant Modulus Algorithm ◽  
Blind Channel Equalization ◽  
Blind Channel

Blind Adaptive Channel Equalization Using Modified CMA

2013 ◽  
Vol 658 ◽  
pp. 537-540
Author(s):  
Sun Shouyu
Keyword(s):  
Error Function ◽  
Channel Equalization ◽  
Convergence Time ◽  
Superior Performance ◽  
Constant Modulus ◽  
Constant Modulus Algorithm ◽  
Blind Channel Equalization ◽  
Blind Adaptive ◽  
Single User ◽  
Frequency Selective Channels

The constant modulus algorithm (CMA) equalizer is perhaps the best known and the most popular scheme for blind adaptive channel equalization. In this paper, a modified constant modulus algorithm (modified CMA or MCMA) is proposed by modifying its error function. We have discussed the MCMA to blind channel equalization for baud-rat sampling in single-user case. Computer simulations are provided for 8PSK signals in noise environments under frequency selective channels. Results demonstrate that the MCMA displays much superior performance to the CMA for both convergence-time and intersymbol interference (ISI) or mean square error (MSE).

Conditional fuzzy clustering for blind channel equalization

2011 ◽  
Vol 11 (2) ◽  
pp. 2777-2786 ◽  
Author(s):  
Soowhan Han ◽  
Sungdae Park ◽  
Witold Pedrycz
Keyword(s):  
Fuzzy Clustering ◽  
Channel Equalization ◽  
Blind Channel Equalization ◽  
Blind Channel
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