Multiuser detection based on a robust approach of principal-factor method with determination of the number of sources
Multiuser detection based on a robust approach of principal-factor method with determination of the number of sources
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DOI：
10.1109/iscit.2005.1566820
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发表时间：
2005-10
期刊：
影响因子：
--
通讯作者：
Y. Konno;Jianting Cao;M. Tanaka
中科院分区：
文献类型：
--
作者：
Y. Konno;Jianting Cao;M. Tanaka
在本文中，我们重点关注多用户检测的阵列信号处理问题。对于多用户检测，我们提出了一种通过确定源数量来分离噪声盲源的新方法。我们提出的方法是一种实用技术，可以从噪声阵列信号中检测隐藏源，这些信号具有广泛且多样的幅度和异常值。为了完成源检测，我们开发了一种稳健的主因子方法，该方法通过主成分分析（PCA）和标准主因子方法（PFM）进行了扩展。此外，应用交叉验证技术来确定源的数量。计算机模拟结果说明了我们提出的方法的性能和有效性。
In this paper, we focus on the problems of array signal processing for multiuser detection. For multiuser detection, we propose a new approach of noisy blind source separation with determination of the number of sources. Our proposed approach is a practical technique to detect hidden sources from noisy array signals, which have wide and diverse range of amplitude and outliers. In order to accomplish the source detection, we developed a robust approach of principal-factor method, which is extended by the principal component analysis (PCA) and the standard principal-factor method (PFM). Moreover, a cross-validation technique is applied to determine the number of sources. The computer simulation results illustrate the performance and effectiveness of our proposed approach.