基于涡轮编码和均衡的 FSO 湍流缓解技术

Samir M. Hameed
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摘要

自由空间光学(FSO)通信因其高速、安全和低功耗等未来前景广阔的优势,在各种应用中获得了极大的关注。FSO 系统受到空气温度和密度波动产生的湍流的严重制约,导致光束散射和扭曲。湍流带来的衰减会影响 FSO 链路的容量和误码率(BER)。湍流会提高误码率,尤其是在中度和高度湍流条件下。所提出的模型建议在 FSO 发射机上使用带有强度调制器的涡轮编码器,并在直接检测接收机上结合最大似然估计 (MLE)、零强迫均衡 (ZFE) 和涡轮解码器。然而,MLE 能进行精确的信道估计,从而最大限度地减少衰落和湍流。ZFE 可进一步提高链路质量,而涡轮编码可通过增加冗余和大大提高纠错能力来降低误码率。伽马-伽马湍流模型模拟结果表明,与其他技术相比,拟议系统的误码率更高,在中等湍流和强湍流情况下,误码率分别为 10-5,信噪比(SNR)为 16 dB。因此,尽管涡轮编码增加了信号的冗余度,但它仍能实现可观的编码增益,从而提高 FSO 容量。
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Turbulence mitigation in FSO based on turbo coding and equalization
Free space optical (FSO) communication has gained considerable interest for various applications because of its high speed, security, and low power consumption, which seem like promising advantages for the future. FSO systems are severely constrained by turbulence produced by air temperature and density fluctuations, resulting in scattered and distorted light beams. The capacity and bit error rate (BER) of an FSO link can be influenced by fading brought on by turbulence. Turbulence raises the BER, especially under conditions of moderate and high turbulence. The proposed model suggests using a turbo encoder with an intensity modulator at the FSO transmitter and combining maximum likelihood estimation (MLE), zero-forcing equalization (ZFE), and a turbo decoder for the direct detection receiver. However, MLE does an accurate channel estimate, which minimizes fading and turbulence. ZFE improves the quality of the link even further, while turbo coding lowers the bit error rate by increasing redundancy and greatly enhancing error-correcting capability. The Gamma–Gamma turbulence model simulation showed the proposed system’s superiority over other techniques, which achieved a BER of 10−5 with a signal-to-noise ratio (SNR) of 16 dB for moderate and strong turbulence, respectively. Consequently, even though turbo coding adds redundancy to the signal, it can achieve substantial coding gains that increase FSO capacity.
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