A novel scheme for WSDM based on signal preprocessing

Jiangong Wang, H. Wei
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Abstract

A novel source signal preprocessing method and channel identification algorithm for blind separation were proposed in this paper. In this method, source signals were second-order cyclostationary(SoC) after preprocessing, and this feature was helpful for identifying channel and separating source signals effectively in receiving terminal. We call it pPSoCBSS which is the abbreviation for preprocessing second-order cyclostationary BSS algorithm. pPSoCBSS is a good scheme for Wireless Statistical Division Multiplexing (WSDM). It had three steps: a)source signals preprocessing; b)channel identification; c)source separation. Preprocessing signals has three advantages in identifying channel: more exactly, anti-noise effectively, and without loss in underdetermined case. mathematic analysis and extensive simulation results confirm the validity and high performance of the algorithm. Compared with related algorithms such as JADE and SOBI, pPSoCBSS enjoys better PI performance.
一种新的基于信号预处理的WSDM方案
提出了一种新的盲分离源信号预处理方法和信道识别算法。该方法将源信号预处理后为二阶循环平稳(SoC),这一特性有助于在接收端有效识别信道和分离源信号。我们称之为pPSoCBSS,这是预处理二阶循环平稳BSS算法的缩写。pPSoCBSS是一种很好的无线统计分组复用(WSDM)方案。它有三个步骤:a)源信号预处理;b)通道识别;c)源分离。预处理信号在识别信道方面具有三个优点:更准确、抗噪效果好、在欠确定情况下无损失。数学分析和大量的仿真结果验证了该算法的有效性和高性能。与JADE、SOBI等相关算法相比,pPSoCBSS具有更好的PI性能。
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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