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Investigation of multilevel amplitude modulation for a dual-wavelength free-space optical communications system using realistic channel estimation and minimum mean-squared-error linear equalization

机译:基于实际信道估计和最小均方误差线性均衡的双波长自由空间光通信系统的多级幅度调制研究

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摘要

Fog is a highly dispersive medium at optical wavelengths, and the received pulse waveform may suffer significant distortion. Thus it is desirable to have the impulse response of the propagation channel to recover data transmitted through fog. The fog particle density and the particle size distribution both strongly influence the channel impulse response, yet it is difficult to estimate these parameters. We present a method using a dual-wavelength free-space optical system for estimating the average particle diameter and the particle number density and for approximating the particle distribution function. These parameters serve as inputs to estimate the atmospheric channel impulse response using simulation based on the modified vector radiative transfer theory. The estimated channel response is used to design a minimum mean-square-error equalization filter to improve the bit error rate by correcting distortion in the received signal waveform due to intersymbol interference and additive white Gaussian noise.
机译:雾在光波长处是高度分散的介质,接收到的脉冲波形可能会遭受严重的失真。因此,期望具有传播信道的脉冲响应以恢复通过雾传输的数据。雾的粒子密度和粒度分布都强烈影响通道的脉冲响应,但是很难估计这些参数。我们提出了一种使用双波长自由空间光学系统的方法,用于估计平均粒径和粒子数密度以及近似粒子分布函数。这些参数用作使用基于改进的矢量辐射传递理论的模拟来估计大气通道脉冲响应的输入。估计的信道响应用于设计最小均方误差均衡滤波器,以通过校正由于符号间干扰和加性高斯白噪声而引起的接收信号波形中的失真来改善误码率。

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