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Blind signal separation and equalization with controlled delay for MIMO convolutive systems

机译:MIMO卷积系统中具有受控延迟的盲信号分离和均衡

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In this paper we consider the problem of blind source separation and equalization of multiple-input multiple-output (MIMO) convolutive systems. We propose a new approach allowing the recovery of all source signals with a desired delay. It is made up of the constant modulus (CM) and an appropriate second order terms. The study of the stationary points of the criterion reveals that the only existing minima correspond, in the absence of noise, to a perfect recovery of all transmitted signals with the desired delay. Therefore, with this criterion we are able to control the separator delay, which allows, on the one hand, to remove the delay ambiguity inherent to blind equalization of MIMO convolutive systems, and on the other hand, to improve considerably the performance when the delay is chosen appropriately. Moreover, we propose two ways to implement the criterion, a batch implementation and an adaptive one. The effectiveness of the proposed approach is illustrated via several simulation experiments.
机译:在本文中,我们考虑了盲源分离和多输入多输出(MIMO)卷积系统均衡的问题。我们提出了一种新的方法,允许以期望的延迟恢复所有源信号。它由常数模量(CM)和适当的二阶项组成。对标准的平稳点的研究表明,在没有噪声的情况下,唯一存在的最小值对应于具有所需延迟的所有发射信号的完美恢复。因此,使用此标准,我们能够控制分隔符延迟,一方面,它可以消除MIMO卷积系统的盲均衡固有的延迟歧义,另一方面,可以显着提高延迟时的性能。选择适当。此外,我们提出了两种实现准则的方法,即批处理和自适应。通过几个仿真实验说明了该方法的有效性。

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