This article presents exact expressions for the bit error probability (BEP) of the M-ary quadrature amplitude modulation (M-QAM) scheme subject to η-μ or κ-μ fading and gated additive white Gaussian noise (GAWGN), which is a noise formed by the sum of a white Gaussian component of variance ${\sigma }_g^2$ and a white Gaussian noise component of variance ${\sigma }_i^2$ 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.

本文给出了经受η - μ或κ - μ衰落和门加性加性高斯白噪声（GAWGN）的M元正交幅度调制（M -QAM）方案的误比特率（BEP）的精确表达式。白色高斯方差之和形成的噪声${\sigma }_G^2$ 和方差的高斯白噪声分量 ${\sigma }_{\mathrm{一世}}^2$ 被信号门控 $C（Ť）$。在这项工作中，信号$C（Ť）$其特征在于马尔可夫过程或泊松过程（电报过程），用于对通信系统中冲激噪声的出现和消失瞬间进行建模。在本文提出的表达式是新的，简单的，写在初等函数，并且包括术语，作为特殊情况，各种衰落模型，如Nakagami-的BEP表达式米，Nakagami- q，瑞利，水稻和一个侧高斯。在这项工作中还显示了BEP曲线，并通过蒙特卡罗方法进行的仿真得到了证实，该曲线适用于信号与脉冲噪声比的不同值，调制阶数和表征信号转换数量的参数$C（Ť）$ 在符号间隔中从状态0到状态1。