Convergence Characteristics of the Normalized Blind Equalization Algorithm
نویسندگان
چکیده
منابع مشابه
On the convergence of subgradient based blind equalization algorithm
SubGradient based Blind Algorithm (SGBA) has recently been introduced [A.T. Erdogan, C. Kizilkale, Fast and low complexity blind equalization via subgradient projections, IEEE Trans. Signal Process. 53 (2005) 2513–2524; C. Kizilkale, A.T. Erdogan, A fast blind equalization method based on subgradient projections, Proceedings of IEEE ICASSP 2004, Montreal, Canada, vol. 4, pp. 873–876.] as a conv...
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Two different fractionally spaced extensions of the SubGradient based Blind equalization Algorithm (SGBA) are provided. The first one is the direct extension of the linearly constrained SGBA for the symbol spaced setting. The second extension is the weighted and the 2-norm constrained fractionally spaced SGBA (FS-SGBA) algorithm. It is proven that the latter algorithm is globally convergent to ...
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Baud-rate blind equalization algorithms may converge to undesirable stable equi-libria due to diierent reasons. One is the use of FIR lter as an equalizer. It is proved in this paper that this kind of local minima exist for all blind equalization algorithms. The local minima generated by this mechanism are thus called unavoidable local minima. The other one is due to the cost function adopted b...
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Some recent normalized constant modulus algorithms possess surprisingly improved error performance surfaces (EPSs). In this paper, we look at the EPSs of these algorithms in the symbol-spaced setting. The lack of channel disparity in the fractionally-spaced setting is also considered. It is found that normalization has a decreasing e ect as the equalizer length is increased and causes the stati...
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ژورنال
عنوان ژورنال: Journal of information and communication convergence engineering
سال: 2010
ISSN: 2234-8255
DOI: 10.6109/jicce.2010.8.2.136