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Performance Evaluation of Fractionally Spaced Constant Modulus Algorithm (FSCMA) in Relation to CMA (Constant Modulus Algorithm) Method for Blind Equalization of Wireless Signals


Affiliations
1 KL University, Vaddeswaram, Guntur District, India
2 Andhra University, Visakhapatnam, India
 

Wireless communication is being used for many purposes and has become very frequently used mode of communication. Blind equalization methods are being used to estimate the received signal without the necessity to use the trained sequences in the input. Many methods CMA (Constant Modulus Algorithm), FS-CMA (Fractionally spaced CMA), PC-CMA(Phase compensation CMA), MMA(Multi-Modulus Algorithms) are being used for blind equalization. However all the methods are affected due to Inter symbol interference (ISI) and Bit error rate(BER) in the transmission.It has been proved [9] that CMA performs reasonably well compared to LMS methods in the absence of trained sequences. However the method suffers from issues such as Partial spacing, non-phase compensation etc.

In this paper the performance evaluation of FS-CMA in comparison to CMA considering the model parameters at which the maximum performance can be achieved is presented. The performance of FS-CMA as against CMA in respect toInter Symbol interference ISI[1] and Bit error rate (BER), considering optimum parameters has also been presentedin this paper.


Keywords

FS-CMA, CMA, ISI, BER, Blind Equalization, Wireless Communication, Model Parameter, Optimum Model Parameters.
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  • Performance Evaluation of Fractionally Spaced Constant Modulus Algorithm (FSCMA) in Relation to CMA (Constant Modulus Algorithm) Method for Blind Equalization of Wireless Signals

Abstract Views: 128  |  PDF Views: 5

Authors

J. K. R. Sastry
KL University, Vaddeswaram, Guntur District, India
T. Rambabu
Andhra University, Visakhapatnam, India
P. Rajesh Kumar
Andhra University, Visakhapatnam, India

Abstract


Wireless communication is being used for many purposes and has become very frequently used mode of communication. Blind equalization methods are being used to estimate the received signal without the necessity to use the trained sequences in the input. Many methods CMA (Constant Modulus Algorithm), FS-CMA (Fractionally spaced CMA), PC-CMA(Phase compensation CMA), MMA(Multi-Modulus Algorithms) are being used for blind equalization. However all the methods are affected due to Inter symbol interference (ISI) and Bit error rate(BER) in the transmission.It has been proved [9] that CMA performs reasonably well compared to LMS methods in the absence of trained sequences. However the method suffers from issues such as Partial spacing, non-phase compensation etc.

In this paper the performance evaluation of FS-CMA in comparison to CMA considering the model parameters at which the maximum performance can be achieved is presented. The performance of FS-CMA as against CMA in respect toInter Symbol interference ISI[1] and Bit error rate (BER), considering optimum parameters has also been presentedin this paper.


Keywords


FS-CMA, CMA, ISI, BER, Blind Equalization, Wireless Communication, Model Parameter, Optimum Model Parameters.