最大似然原理在多址无线通信半盲时空线性检测中的应用

信号处理 Pub Date : 2001-08-06 DOI:10.1109/SSP.2001.955256

M. Bugallo, J. Míguez, L. Castedo

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引用次数: 0

摘要

介绍了一种多址系统中时空线性检测的半盲方法。基于极大似然(ML)原理，推导了线性接收机系数选择的新准则，并提出了快速期望最大化(EM)算法的实现方法。半盲准则是从纯粹的统计角度获得的，其中训练数据的目的不是提高性能，而是消除错收敛问题。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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An application of the maximum likelihood principle to semiblind space-time linear detection in multiple-access wireless communications

This paper introduces a novel semiblind approach to space-time linear detection in multiple-access systems. A new criterion for the selection of the linear receiver coefficients, based on the maximum likelihood (ML) principle, is derived and a practical implementation by means of a fast expectation-maximization (EM) algorithm is suggested. The semiblind criterion is obtained from a purely statistical point of view where the aim of training data is not to enhance performance but to eliminate misconvergence problems.

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来源期刊

信号处理

自引率

0.00%

发文量

5812

期刊介绍： Journal of Signal Processing is an academic journal supervised by China Association for Science and Technology and sponsored by China Institute of Electronics. The journal is an academic journal that reflects the latest research results and technological progress in the field of signal processing and related disciplines. It covers academic papers and review articles on new theories, new ideas, and new technologies in the field of signal processing. The journal aims to provide a platform for academic exchanges for scientific researchers and engineering and technical personnel engaged in basic research and applied research in signal processing, thereby promoting the development of information science and technology. At present, the journal has been included in the three major domestic core journal databases "China Science Citation Database (CSCD), China Science and Technology Core Journals (CSTPCD), Chinese Core Journals Overview" and Coaj. It is also included in many foreign databases such as Scopus, CSA, EBSCO host, INSPEC, JST, etc.