Maximum likelihood channel estimation with noise of unknown power spectrum

被引：2

作者：

Hui, D ^{[1
]}

Zangi, KC ^{[1
]}

机构：

[1] Ericsson Inc, Res Triangle Pk, NC 27709 USA

来源：

IEEE VTC 53RD VEHICULAR TECHNOLOGY CONFERENCE, SPRING 2001, VOLS 1-4, PROCEEDINGS | 2001年

关键词：

D O I：

10.1109/VETECS.2001.944967

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper, we present an algorithm for obtaining maximum-likelihood (ML) channel estimates when the baseband noise is colored with an unknown power spectrum. The algorithm jointly estimates the channel and the spectrum of the noise in an iterative manner. We use the EDGE (Enhanced Data rates for Global Evolution) air interface [2][3] to evaluate the impact of the proposed channel estimation technique in both interference dominated and thermal noise dominated situations. Simulation results show that the algorithm is very effective in suppressing the adjacent channel interference. For example, about 5dB reduction in C/I required to achieve 10% block error rate at coding rate of 0.76 can be achieved.

引用

页码：1614 / 1618

页数：5

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