论文标题
噪声回收
Noise Recycling
论文作者
论文摘要
我们引入了噪声回收，这种方法可实质上增强了受相关噪声的正交通道的解码性能，而无需进行关节编码或解码。该方法可以与任何代码，代码速率和解码技术的组合一起使用。在该方法中，通过从接收的信号中减去其解码输出，从铅通道估算了噪声的连续实现。回收估计值以降低正交通道的信号与噪声比（SNR），该信号与噪声相关，从而提高其解码的准确性。在此设计中，仅通过在编码后的噪声估计提供噪声估计中仅相互帮助。 对于具有潜在不同条件的正交通道之间具有任意噪声相关性的系统，我们引入了一种算法，该算法确定了静态解码顺序，从而最大化总有效SNR。我们证明，该解决方案的有效SNR比独立解码更高，这又导致速率区域更大。我们根据具有相关噪声的正交通道的任何顺序解码的能力得出上限和下限，其中编码器是独立的，并表明这些边界几乎是紧密的。我们从数值上将上限与联合高斯噪声通道的能力与关节编码和解码进行比较，表明它们匹配。 仿真结果表明，可以通过任何代码和解码器组合使用噪声回收，并且在应用用于增强速率区域的静态预定顺序时，它在应用静态预定顺序时会带来明显的块错误率（BLER）益处。我们进一步确定，通过动态噪声回收，可以进行额外的改进，在动态噪声回收中，铅通道未预先确定，而是基于哪个解码器提供最自信的解码器而定的。
We introduce Noise Recycling, a method that substantially enhances decoding performance of orthogonal channels subject to correlated noise without the need for joint encoding or decoding. The method can be used with any combination of codes, code-rates and decoding techniques. In the approach, a continuous realization of noise is estimated from a lead channel by subtracting its decoded output from its received signal. The estimate is recycled to reduce the Signal to Noise Ratio (SNR) of an orthogonal channel that is experiencing correlated noise and so improve the accuracy of its decoding. In this design, channels only aid each other only through the provision of noise estimates post-decoding. For a system with arbitrary noise correlation between orthogonal channels experiencing potentially distinct conditions, we introduce an algorithm that determines a static decoding order that maximizes total effective SNR. We prove that this solution results in higher effective SNR than independent decoding, which in turn leads to a larger rate region. We derive upper and lower bounds on the capacity of any sequential decoding of orthogonal channels with correlated noise where the encoders are independent and show that those bounds are almost tight. We numerically compare the upper bound with the capacity of jointly Gaussian noise channel with joint encoding and decoding, showing that they match. Simulation results illustrate that Noise Recycling can be employed with any combination of codes and decoders, and that it gives significant Block Error Rate (BLER) benefits when applying the static predetermined order used to enhance the rate region. We further establish that an additional BLER improvement is possible through Dynamic Noise Recycling, where the lead channel is not pre-determined but is chosen on-the-fly based on which decoder provides the most confident decoding.
