Blind Channel Equalization Using CMA Algorithm

In wireless communication systems, channel identification and equalization is one of the most challenging tasks because broadcast channels are often subject to frequency selective, time varying fading and there are several bandwidth limitations. Furthermore, each receiver channel has vastly differen...

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Bibliographic Details
Published in2009 International Conference on Advances in Recent Technologies in Communication and Computing pp. 680 - 683
Main Authors Ram Babu, T., Kumar, P.R.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.10.2009
Subjects
Adaptive equalizers
Bandwidth
Blind equalizers
Broadcasting
CMA
cost function
Equalization
Fading
Frequency
Mathematical model
Signal to noise ratio
Time varying systems
Wireless communication
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ISBN9781424451043
1424451043
DOI10.1109/ARTCom.2009.39

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Summary:In wireless communication systems, channel identification and equalization is one of the most challenging tasks because broadcast channels are often subject to frequency selective, time varying fading and there are several bandwidth limitations. Furthermore, each receiver channel has vastly different types of channel characteristics and signals to noise ratio. Here in this paper specifically we try to estimate blind equalization schemes particularly using constant modulus algorithm (CMA). We try to estimate a linear channel model driven by a QAM, PAM, BPSK source and adapt an adaptive equalizer using CMA based on BERGulator simulator tool, which is a MATLAB-based interactive simulation tool, aimed at studying the behavior of the constant modulus algorithm (CMA) when used for direct blind linear channel equalization.
ISBN:9781424451043
1424451043
DOI:10.1109/ARTCom.2009.39