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Receiver design for SPAD-based VLC systems under Poisson-Gaussian mixed noise model

机译:基于泊松 - 高斯混合噪声模型的基于spaD的VLC系统的接收机设计

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摘要

Single-photon avalanche diode (SPAD) is a promising photosensor because of its high sensitivity to optical signals in weak illuminance environment. Recently, it has drawn much attention from researchers in visible light communications (VLC). However, existing literature only deals with the simplified channel model, which only considers the effects of Poisson noise introduced by SPAD, but neglects other noise sources. Specifically, when an analog SPAD detector is applied, there exists Gaussian thermal noise generated by the transimpedance amplifier (TIA) and the digital-to-analog converter (D/A). Therefore, in this paper, we propose an SPAD-based VLC system with pulse-amplitude-modulation (PAM) under Poisson-Gaussian mixed noise model, where Gaussian-distributed thermal noise at the receiver is also investigated. The closed-form conditional likelihood of received signals is derived using the Laplace transform and the saddle-point approximation method, and the corresponding quasi-maximum-likelihood (quasi-ML) detector is proposed. Furthermore, the Poisson-Gaussian-distributed signals are converted to Gaussian variables with the aid of the generalized Anscombe transform (GAT), leading to an equivalent additive white Gaussian noise (AWGN) channel, and a hard-decision-based detector is invoked. Simulation results demonstrate that, the proposed GAT-based detector can reduce the computational complexity with marginal performance loss compared with the proposed quasi-ML detector, and both detectors are capable of accurately demodulating the SPAD-based PAM signals.
机译:单光子雪崩二极管(SPAD)是一种很有前途的光电传感器,因为它在弱照度环境中对光信号具有很高的灵敏度。最近,它引起了可见光通信(VLC)研究人员的极大关注。但是,现有文献仅涉及简化的信道模型,该模型仅考虑了SPAD引入的泊松噪声的影响,而忽略了其他噪声源。具体地,当应用模拟SPAD检测器时,存在由跨阻放大器(TIA)和数模转换器(D / A)产生的高斯热噪声。因此,在泊松-高斯混合噪声模型下,我们提出了一种基于SPAD的带脉冲幅度调制(PAM)的VLC系统,其中还对接收器处的高斯分布热噪声进行了研究。利用拉普拉斯变换和鞍点近似方法推导了接收信号的闭合形式条件似然,并提出了相应的拟最大似然(准ML)检测器。此外,借助广义Anscombe变换(GAT),将泊松-高斯分布的信号转换为高斯变量,从而产生等效的加性白高斯噪声(AWGN)通道,并调用基于硬决策的检测器。仿真结果表明,与拟准ML检测器相比,基于GAT的检测器可以降低计算复杂度,且具有边际性能损失,并且两种检测器均能够准确解调基于SPAD的PAM信号。

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