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An Empirical Likelihood Scheme for Signal Detection in MIMO Systems with Nonlinear Interference

机译:具有非线性干扰的MIMO系统信号检测的经验似然方案

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摘要

Unknown interference and colored noise which is called nonlinear interference here, reducing precision and reliability of system seriously, is ubiquitous in the complexity multi-antenna environment. A new approach, to estimate and detect signal in these multi-antenna systems, is introduced in this paper. Nonlinear interference is treated as a nonparametric component in the model and is estimated by Kernel and Empirical Likelihood method. Furthermore, MIMO capacity for these systems is derived and the asymptotic properties of the estimation for transmitted signal and BER performance for signal detection are explored via numerical simulations.
机译:这里称为非线性干扰的未知干扰和彩色噪声,严重降低了系统的精度和可靠性,在复杂性多天线环境中普遍存在。本文介绍了一种新的方法,以估计和检测这些多天线系统中的信号。非线性干扰被视为模型中的非参数组分,并通过内核和经验似然方法估计。此外,导出这些系统的MIMO容量,并且通过数值模拟探索了用于信号检测的传输信号和BER性能的估计的渐近特性。

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