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Subspace based blind identification and equalization of linear FIR MIMO systems and FIR SIMO volterra systems

机译:线性FIR MIMO系统和FIR SIMO Volterra系统基于子空间的盲识别和均衡

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In this paper a new algorithm based on subspace projections is developed for the blind equalization and kernel identification of linear FIR Multiple Input Multiple Output (MIMO) as well as nonlinear FIR SIMO Volterra systems. Simulations in the context of blind channel equalization show good performance in comparison to existing schemes.
机译:本文针对线性FIR多输入多输出(MIMO)以及非线性FIR SIMO Volterra系统的盲均衡和内核识别,开发了一种基于子空间投影的新算法。与现有方案相比,盲信道均衡环境下的仿真显示出良好的性能。

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