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Bit error probability of M-QAM under eta-mu or kappa-mu, fading and impulsive noise gated by a signal characterized by a Markov process or Poisson process

机译:通过Markov过程或泊松过程所特征的信号,衰落和脉冲噪声,所以通过Markov过程或泊松过程所特征的信号衰减和脉冲噪声误差概率

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This article presents exact expressions for the bit error probability (BEP) of the M-ary quadrature amplitude modulation (M-QAM) scheme subject to eta-mu or k-mu, fading and gated additive white Gaussian noise (GAWGN), which is a noise formed by the sum of a white Gaussian component of variance sigma(2)(g) and a white Gaussian noise component of variance sigma(i)(g) gated by a signal C(t). In this work, the signal C(t) is characterized by a Markov process or a Poisson process (telegraphic process) and is used to model the instants of appearance and disappearance of the impulsive noise in the communication system. The expressions presented in this paper are new, simple, written in terms of elementary functions and encompass, as special cases, the BEP expressions of a variety of fading models, such as Nakagami-m, Nakagami-q, Rayleigh, Rice and one side Gaussian. BEP curves are also shown in this work, corroborated by simulations performed with Monte Carlo method, for different values of the signal to impulsive noise ratio, modulation order and parameters that characterize the number of transitions of the signal C(t) from state zero to state one in a symbol interval. (C) 2020 Elsevier Inc. All rights reserved.
机译:本文介绍了由ETA-MU或K-MU的M-ARY正交幅度调制(M-QAM)方案的误码概率(BEP)的精确表达式,衰落和门控添加剂白色高斯噪声(GAWGN)由方差Sigma(2)(G)的白色高斯分量的总和形成的噪声和由信号C(T)所连接的方差Sigma(I)(G)的白色高斯噪声分量。在这项工作中,信号C(t)的特征在于Markov过程或泊松过程(电报过程),并且用于模拟通信系统中脉冲噪声的外观和消失的瞬间。本文提出的表达式是新的,简单,以基本功能为基本的,作为特殊情况,作为特殊情况,是各种衰落模型的BEP表达,如Nakagami-M,Nakagami-Q,Rayleigh,Rice和一侧高斯。 BEP曲线也在该工作中示出,通过用蒙特卡罗方法执行的模拟来证实,用于信号的不同值,以脉冲噪声比,调制顺序和参数,该参数表征来自状态零的信号C(T)的转换数量的次数状态为一个符号间隔。 (c)2020 Elsevier Inc.保留所有权利。

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