用于水下单光子视频通信的联合编码研究

Research on joint coding for underwater single-photon video communication

为了实现有效与可靠的视频传输,针对水下单光子通信系统,提出了一种基于字典学习和LT码级联LDPC码的视频联合编码方案。通过字典学习稀疏编码,极大地压缩了视频数据量。根据水下单光子信道存在的删除特性,利用LT码级联LDPC码的信道级联编码方法,同时克服了LT码译码开销过大的缺点。由于LT码存在译码失败概率的问题,提出了译码成功双反馈机制。实验结果表明,当信道误码率处于10^(-2)数量级、视频压缩率为75.6%时,可以实现平均峰值信噪比(PSNR)为37.4921 dB重建视频帧。

In order to achieve effective and reliable video transmission,a video joint coding scheme based on dictionary learning and the concatenation of LT code and LDPC code is proposed for underwater single-photon communication system.Sparse coding based on dictionary learning greatly compresses the amount of video data.According to the deletion characteristic of underwater single-photon channel,using the LT-LDPC channel concatenated coding method can overcome the disadvantage of excessive decoding overhead of LT code.Aiming at the problem of decoding failure probability of LT coding,a double feedback mechanism for decoding success is proposed.The experimental results show that when the channel error rate is in the order of 10^(-2)and the video compression rate is 75.6%,the video frames can be reconstructed with an average peak signal-to-noise ratio(PSNR)of 37.4921 dB.