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Alternative Decoding Methods for Optical Communications Based on Nonlinear Fourier Transform

机译:基于非线性傅里叶变换的光通信替代解码方法

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Long-haul optical communications based on nonlinear Fourier Transform have gained attention recently as a new communication strategy that inherently embrace the nonlinear nature of the optical fiber. For communications using discrete eigenvalues λ ∈ C+, information are encoded and decoded in the spectral amplitudes q(λ) = b(λ)/(da(λ)/dλ) at the root λrt where a(λrt) = 0. In this paper, we propose two alternative decoding methods using a(λ) and b(λ) instead of q(λ) as decision metrics. For discrete eigenvalue modulation systems, we show that symbol decisions usinga(λ) at a prescribed set of λ values perform similarly to conventional methods using q(λ) but avoid root searching, and, thus, significantly reduce computational complexity. For systems with phase and amplitude modulation on a given discrete eigenvalue, we propose to use b(λ) after for symbol detection and show that the noise in da(λ)/dλ and λrt after transmission is all correlated with that in b(λrt). A linear minimum mean square error estimator of the noise in b(λrt) is derived based on such noise correlation and transmission performance is considerably improved for QPSK and 16-quadratic-amplitude modulation systems on discrete eigenvalues.
机译:作为一种固有地包含光纤的非线性特性的新的通信策略,基于非线性傅里叶变换的长距离光通信近来受到关注。对于使用离散特征值λ∈C +的通信,信息在根λrt处的频谱幅度q(λ)= b(λ)/(da(λ)/dλ)中进行编码和解码,其中a(λrt)= 0。在本文中,我们提出了两种替代解码方法,分别使用a(λ)和b(λ)而不是q(λ)作为决策指标。对于离散特征值调制系统,我们表明在指定的λ值集合处使用a(λ)进行符号决策与使用q(λ)的常规方法相似,但避免了根搜索,从而显着降低了计算复杂度。对于在给定离散特征值上具有相位和幅度调制的系统,我们建议在符号检测后使用b(λ),然后证明传输后da(λ)/dλ和λrt中的噪声都与b(λrt)中的噪声相关)。基于这样的噪声相关性,得出了噪声在b(λrt)中的线性最小均方误差估计,对于离散特征值的QPSK和16二次振幅调制系统,传输性能得到了显着改善。

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