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Comparative study between blind identification algorithms and least mean square algorithm for non minimum phase channel | IEEE Conference Publication | IEEE Xplore
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Comparative study between blind identification algorithms and least mean square algorithm for non minimum phase channel


Abstract:

In this paper we present a comparative study between four algorithms for identification of linear non minimum phase systems in noise environment case. The input sequence ...Show More

Abstract:

In this paper we present a comparative study between four algorithms for identification of linear non minimum phase systems in noise environment case. The input sequence is assumed to be independent and identically distributed (i.i.d), zero mean and must be non-gaussian. In order to test the efficiency of these algorithms we have selected the Macchi channel. The simulation results in noisy environment and for different data input channel, demonstrates that the presented methods could estimate the phase and magnitude with different precision.
Date of Conference: 14-16 April 2014
Date Added to IEEE Xplore: 29 September 2014
ISBN Information:
Conference Location: Marrakech, Morocco

References

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