基于恒模准则和人工免疫网络的盲均衡方法

2003 IEEE XIII Workshop on Neural Networks for Signal Processing (IEEE Cat. No.03TH8718) Pub Date : 1900-01-01 DOI:10.1109/NNSP.2003.1318083

R. Attux, L. Castro, F. V. Zuben, J. Romano

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引用次数: 14

摘要

我们提出了一种新的最优盲IIR均衡化范例，使用众所周知的常模准则和人工免疫网络。在三种不同情景下进行的测试显示了该提议的效率，并得到了出色的全球趋同率(两种情况下为100%)和适应模式的证明。

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A paradigm for blind IIR equalization using the constant modulus criterion and an artificial immune network

We propose a new paradigm for optimal blind IIR equalization using the well-known constant modulus criterion and an artificial immune network. Tests in three different scenarios reveal the efficiency of the proposal, attested by excellent global convergence rates (100% in two cases) and adaptation patterns.

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来源期刊

2003 IEEE XIII Workshop on Neural Networks for Signal Processing (IEEE Cat. No.03TH8718)

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