Blind Adaptive Channel Equalization Using Modified CMA

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).

Blind channel equalization using modified constant modulus algorithm

2016 International Conference on Computing, Communication and Automation (ICCCA) ◽

10.1109/ccaa.2016.7813866 ◽

2016 ◽

Cited By ~ 2

Author(s):

Prakhar Priyadarshi ◽

C. S. Rai

Keyword(s):

Channel Equalization ◽

Constant Modulus ◽

Blind Channel

Pre-Whitened Dithered Signed-Error Constant Modulus Algorithm for Efficient Blind Channel Equalization

2005 International Conference on Industrial Electronics and Control Applications ◽

10.1109/icieca.2005.1644366 ◽

2006 ◽

Author(s):

N.R. Butt ◽

L. Cheded

Keyword(s):

Channel Equalization ◽

Constant Modulus ◽

Error Constant ◽

Blind Channel

Increasing the speed of convergence of the constant modulus algorithm for blind channel equalization

IEEE Transactions on Communications ◽

10.1109/tcomm.2002.1010603 ◽

2002 ◽

Vol 50 (6) ◽

pp. 872-876 ◽

Cited By ~ 19

Author(s):

S.R. Nelatury ◽

S.S. Rao

Keyword(s):

Channel Equalization ◽

Speed Of Convergence ◽

Constant Modulus ◽

Blind Channel

Modified constant modulus algorithm based on bat algorithm

Journal of Intelligent & Fuzzy Systems ◽

10.3233/jifs-189709 ◽

2021 ◽

pp. 1-8

Author(s):

Tongtong Xu ◽

Zheng Xiang

Keyword(s):

Communication Systems ◽

Optimization Problems ◽

Error Function ◽

Bat Algorithm ◽

Weight Vector ◽

Wireless Channel ◽

Constant Modulus ◽

Almost All

In this work, modified constant modulus algorithm based on bat algorithm is proposed for wireless sensor communications systems. The bat algorithm is a swarm intelligence optimization algorithm, which mainly used to solve optimization problems. The proposed algorithm focused on modified constant modulus algorithm, which is also applicable to the constant modulus algorithm. The error function of blind equalization algorithm is used as the evaluation function of the bat algorithm, and then the initial value of the weight vector is calculated adaptively by the bat algorithm. Theoretical analysis is provided to illustrate that the proposed algorithm has a faster convergence speed than the original one and is suitable for almost all blind channel equalization algorithms. The simulation results support the newly proposed improved algorithm. The proposed algorithm could be applied to some more complex wireless channel environments to improve the reception performance of sensor communication systems.