一种快速高斯极大似然盲多信道估计方法

1999 2nd IEEE Workshop on Signal Processing Advances in Wireless Communications (Cat. No.99EX304) Pub Date : 1999-05-09 DOI:10.1109/SPAWC.1999.783073

E. de Carvalho, D. Slock

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引用次数: 4

摘要

我们提出了一种盲极大似然法用于FIR多信道估计，记作GML。假设输入符号为高斯随机变量，推导出GML准则。通过数值计算比较了GML(基于真符号分布计算)与最优加权协方差匹配方法的性能:两种方法在一定的渐近意义上是等价的。提出了一种求解GML的快速评分算法。

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A fast Gaussian maximum-likelihood method for blind multichannel estimation

We propose a blind maximum-likelihood method for FIR multichannel estimation, denoted GML. The GML criterion is derived assuming the input symbols as Gaussian random variables. The performance of GML (computed based on the true symbol distribution) is compared through numerical evaluations to the optimally weighted covariance matching method: both methods are equivalent in a certain asymptotic sense. A fast implementation of the scoring algorithm is proposed to solve GML.

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来源期刊

1999 2nd IEEE Workshop on Signal Processing Advances in Wireless Communications (Cat. No.99EX304)

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