恒模盲源分离技术:一种新方法

A. Belouchrani, K. Abed-Meraim
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引用次数: 11

摘要

本文提出了一种新的盲源分离方法。近年来,针对多输入多输出(MIMO)盲识别问题出现了一些新的技术[1,2,31],这是通信领域的一个重要问题。这些技术估计传递函数直到一个常数矩阵。源分离的目的[4,5]包括对该矩阵的估计,并提供对发射信号的估计。该方法利用估计源的非线性版本作为输入,通过输入-输出(IO)识别来估计混合矩阵。其中,非线性畸变包括将io识别器件的输入模量约束为常数。因此提出的技术的名称。这种方法有很多好处,i)实现简单(见下文)ii)没有模拟表明的病态收敛,但还没有证据。iii)实现既可以采用块处理,也可以采用自适应方式。数值模拟结果表明了该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Constant Modulus Blihtd Source Separation Technique: a New Approach
In this paper, we present a new approach for the blind source separation problem. Recently, several new techniques have emerged for the Multi-Input-Multi-Output (MIMO) blind identification problem [l, 2, 31 which is an important issue in communications. These techniques estimate the transfer function up to a constant matrix. The purpose of the source separation [4,5] consists of the estimation of such matrix and provides an estimate of the emitted signals. The proposed method estimates the mixing matrix by an Input-Output (IO) identification using as inputs a nonlinear version of the estimated sources. Herein, the nonlinear distortion consists of constraining the Modulus of the inputs of the IO-Identification device to a Constant. Hence the name of the proposed technique. This approach presents many benefits, i) Simple implementations (see below) ii) No ill convergence as indicated by simulations, but no proof is available yet. iii) Implementations are possible either in a block processing or in an adaptive fashion. The effectiveness of the proposed method is illustrated by some numerical simulations.
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