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SNR-and Rate-Optimized LDPC Codes for Free-Space Optical Channels

机译:用于自由空间光学通道的SNR和速率优化的LDPC代码

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摘要

We use a low-density parity-check (LDPC) code to mitigate the effects of fluctuations caused by atmospheric turbulence in an uncorrelated flat free-space optical (FSO) channel. To achieve the threshold close to the FSO channel’s capacity, we require an optimum degree distribution for the LDPC codes. We analytically derive the degree distributions of irregular LDPC codes in the gamma-gamma distributed FSO channel by optimizing either SNR or rate. In the SNR-optimized channel, we derive degree distributions for achieving a specific threshold (0.5 dB and 5 dB) at the highest possible rate. In contrast, in the rate-optimized channel, we target a specific rate (0.75 and 0.8) at the lowest possible threshold. For the SNR-optimized case, the maximum achievable code rate decreases from 0.56 to 0.40 at a 5 dB threshold on moving from a weak to a strong turbulence regime. In the rate-optimized case, we obtain the required code rate of 0.8 at the threshold of 11.30 dB and 19.97 dB in weak and strong turbulence regimes, respectively. We report the gap to capacity, which gives how far the LDPC code is operating from the Shannon limit, for these cases, and verify the analytical results by the simulations in MATLAB. This work emphasizes the concept of adaptive coding over the FSO channel.
机译:我们使用低密度奇偶校验(LDPC)代码来减轻由大气湍流引起的波动效果在不相关的平面自由空间光学(FSO)通道中。为了达到接近FSO通道容量的阈值,我们需要为LDPC代码提供最佳度分布。我们通过优化SNR或速率分析了伽马-GAMMA分布式FSO通道中的不规则LDPC代码的程度分布。在SNR优化的信道中,我们以最高速率实现学位分布,以实现特定阈值(0.5 dB和5 dB)。相反,在速率优化信道中,我们以可能的阈值确定特定速率(0.75和0.8)。对于SNR优化的情况,在从弱到强湍流状态下移动的5 dB阈值下,最大可实现的码率从0.56到0.40降低。在速率优化的情况下,我们分别以11.30dB的阈值获得0.8的所需码率,分别为弱和强弱湍流制度。我们将差距报告给容量,这给出了LDPC代码从Shannon限制运行多远,对于这些情况,并验证Matlab中的模拟的分析结果。这项工作强调了在FSO通道上的自适应编码的概念。

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